際際滷shows by User: jmorovic / http://www.slideshare.net/images/logo.gif 際際滷shows by User: jmorovic / Wed, 28 Nov 2018 15:37:07 GMT 際際滷Share feed for 際際滷shows by User: jmorovic Color Color Processing /slideshow/color-color-processing/124278534 cic26colorcolorprocessing-181128153707
Color imaging involves a variety of processing operations, from interpolation, via matrix transformation, to smoothing and predictive modeling. Since colors can be represented as coordinates in color space, the general methods of mathematics can be applied to them. However, if color coordinates are treated simply as generic spatial coordinates, their processing can have undesirable consequences, deriving from a disconnect between the coordinates representing a color and the color formation properties resulting in it. E.g., interpolating among colors with very different lightnesses may lead to a grainy result in print, or varying the interpolation support when processing a transition may lead to unwanted cross-contamination of colorants. To address such challenges, the present paper proposes two color processing algorithms that do take the color properties of processed coordinates into account. They can therefore, in some sense, be thought of as color color processing algorithms rather than as geometric or mathematical color processing ones. The consequences of making color-native choices when processing color data then are improved transitions, purity and grain.]]>
Color imaging involves a variety of processing operations, from interpolation, via matrix transformation, to smoothing and predictive modeling. Since colors can be represented as coordinates in color space, the general methods of mathematics can be applied to them. However, if color coordinates are treated simply as generic spatial coordinates, their processing can have undesirable consequences, deriving from a disconnect between the coordinates representing a color and the color formation properties resulting in it. E.g., interpolating among colors with very different lightnesses may lead to a grainy result in print, or varying the interpolation support when processing a transition may lead to unwanted cross-contamination of colorants. To address such challenges, the present paper proposes two color processing algorithms that do take the color properties of processed coordinates into account. They can therefore, in some sense, be thought of as color color processing algorithms rather than as geometric or mathematical color processing ones. The consequences of making color-native choices when processing color data then are improved transitions, purity and grain.]]> Wed, 28 Nov 2018 15:37:07 GMT /slideshow/color-color-processing/124278534 jmorovic@slideshare.net(jmorovic) Color Color Processing jmorovic Color imaging involves a variety of processing operations, from interpolation, via matrix transformation, to smoothing and predictive modeling. Since colors can be represented as coordinates in color space, the general methods of mathematics can be applied to them. However, if color coordinates are treated simply as generic spatial coordinates, their processing can have undesirable consequences, deriving from a disconnect between the coordinates representing a color and the color formation properties resulting in it. E.g., interpolating among colors with very different lightnesses may lead to a grainy result in print, or varying the interpolation support when processing a transition may lead to unwanted cross-contamination of colorants. To address such challenges, the present paper proposes two color processing algorithms that do take the color properties of processed coordinates into account. They can therefore, in some sense, be thought of as color color processing algorithms rather than as geometric or mathematical color processing ones. The consequences of making color-native choices when processing color data then are improved transitions, purity and grain. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cic26colorcolorprocessing-181128153707-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Color imaging involves a variety of processing operations, from interpolation, via matrix transformation, to smoothing and predictive modeling. Since colors can be represented as coordinates in color space, the general methods of mathematics can be applied to them. However, if color coordinates are treated simply as generic spatial coordinates, their processing can have undesirable consequences, deriving from a disconnect between the coordinates representing a color and the color formation properties resulting in it. E.g., interpolating among colors with very different lightnesses may lead to a grainy result in print, or varying the interpolation support when processing a transition may lead to unwanted cross-contamination of colorants. To address such challenges, the present paper proposes two color processing algorithms that do take the color properties of processed coordinates into account. They can therefore, in some sense, be thought of as color color processing algorithms rather than as geometric or mathematical color processing ones. The consequences of making color-native choices when processing color data then are improved transitions, purity and grain.
Color Color Processing from Jan Morovic
]]> 409 2 https://cdn.slidesharecdn.com/ss_thumbnails/cic26colorcolorprocessing-181128153707-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Large-gamut color and spectral display using sub-wavelength gratings /slideshow/largegamut-color-and-spectral-display-using-subwavelength-gratings/68511274 cic24displaypresentation20161025-161109183827
As content creation, editing, approval, prototyping, manufac- turing and consumption become ever more distributed, the ability to display a broad variety of colors becomes increasingly more important. Displays that use RGB filters or even backlights cannot span all spectra or even just colors that occur in nature. To im- prove the accuracy of spectral and color reproduction, there have been attempts to include additional color primaries in displays. Existing solutions, however, impact cost, scalability, or spatial resolution and are predominantly applicable to projections system. We propose an approach based on combining diffraction gratings extractors (Fattal et al., 2013) and the HANS imaging pipeline (Morovi et al., 2011) initially developed for printing. This combi- nation offers access to a very large color and spectral gamut with the same backlights as commercially used today.]]>
As content creation, editing, approval, prototyping, manufac- turing and consumption become ever more distributed, the ability to display a broad variety of colors becomes increasingly more important. Displays that use RGB filters or even backlights cannot span all spectra or even just colors that occur in nature. To im- prove the accuracy of spectral and color reproduction, there have been attempts to include additional color primaries in displays. Existing solutions, however, impact cost, scalability, or spatial resolution and are predominantly applicable to projections system. We propose an approach based on combining diffraction gratings extractors (Fattal et al., 2013) and the HANS imaging pipeline (Morovi et al., 2011) initially developed for printing. This combi- nation offers access to a very large color and spectral gamut with the same backlights as commercially used today.]]> Wed, 09 Nov 2016 18:38:27 GMT /slideshow/largegamut-color-and-spectral-display-using-subwavelength-gratings/68511274 jmorovic@slideshare.net(jmorovic) Large-gamut color and spectral display using sub-wavelength gratings jmorovic As content creation, editing, approval, prototyping, manufac- turing and consumption become ever more distributed, the ability to display a broad variety of colors becomes increasingly more important. Displays that use RGB filters or even backlights cannot span all spectra or even just colors that occur in nature. To im- prove the accuracy of spectral and color reproduction, there have been attempts to include additional color primaries in displays. Existing solutions, however, impact cost, scalability, or spatial resolution and are predominantly applicable to projections system. We propose an approach based on combining diffraction gratings extractors (Fattal et al., 2013) and the HANS imaging pipeline (Morovi et al., 2011) initially developed for printing. This combi- nation offers access to a very large color and spectral gamut with the same backlights as commercially used today. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cic24displaypresentation20161025-161109183827-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> As content creation, editing, approval, prototyping, manufac- turing and consumption become ever more distributed, the ability to display a broad variety of colors becomes increasingly more important. Displays that use RGB filters or even backlights cannot span all spectra or even just colors that occur in nature. To im- prove the accuracy of spectral and color reproduction, there have been attempts to include additional color primaries in displays. Existing solutions, however, impact cost, scalability, or spatial resolution and are predominantly applicable to projections system. We propose an approach based on combining diffraction gratings extractors (Fattal et al., 2013) and the HANS imaging pipeline (Morovi et al., 2011) initially developed for printing. This combi- nation offers access to a very large color and spectral gamut with the same backlights as commercially used today.
Large-gamut color and spectral display using sub-wavelength gratings from Jan Morovic
]]> 510 2 https://cdn.slidesharecdn.com/ss_thumbnails/cic24displaypresentation20161025-161109183827-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 8 vertex HANS: An ultra-simple printer color architecture /slideshow/cic21-8-vertexhanss/28052520 cic21-8-vertex-hans-s-131108151721-phpapp02
Co-authors: Peter Morovic, Mart鱈 Rius and Juan Manuel Garc鱈a-Reyero. Presented at 21st IS&T Color and Imaging Conference on 8th November 2013. "The underlying non-linearity of how print colorants combine makes color control in printing significantly more complex than for other color imaging devices. While in additive systems a measurement of their few primaries and per-channel non-linearities versus luminance is a sufficient basis for predicting color output, printing typically requires the measurement of a large number of colorant combinations. This requirement for many measurements makes accurate color output more challenging and means that setting up a printing systems color control can be time consuming and costly. The solution presented in this paper involves a new use of the HANS approach, which instead of print optimization looks for simplifying print color formation and therefore also control. In a nutshell this can be achieved by only ever combining eight basic colorant patterns, which results in a display-like color gamut and allows for color control on the basis of their eight measurements and those of the printing systems optical dot gain."]]>
Co-authors: Peter Morovic, Mart鱈 Rius and Juan Manuel Garc鱈a-Reyero. Presented at 21st IS&T Color and Imaging Conference on 8th November 2013. "The underlying non-linearity of how print colorants combine makes color control in printing significantly more complex than for other color imaging devices. While in additive systems a measurement of their few primaries and per-channel non-linearities versus luminance is a sufficient basis for predicting color output, printing typically requires the measurement of a large number of colorant combinations. This requirement for many measurements makes accurate color output more challenging and means that setting up a printing systems color control can be time consuming and costly. The solution presented in this paper involves a new use of the HANS approach, which instead of print optimization looks for simplifying print color formation and therefore also control. In a nutshell this can be achieved by only ever combining eight basic colorant patterns, which results in a display-like color gamut and allows for color control on the basis of their eight measurements and those of the printing systems optical dot gain."]]> Fri, 08 Nov 2013 15:17:21 GMT /slideshow/cic21-8-vertexhanss/28052520 jmorovic@slideshare.net(jmorovic) 8 vertex HANS: An ultra-simple printer color architecture jmorovic Co-authors: Peter Morovic, Mart鱈 Rius and Juan Manuel Garc鱈a-Reyero. Presented at 21st IS&T Color and Imaging Conference on 8th November 2013. "The underlying non-linearity of how print colorants combine makes color control in printing significantly more complex than for other color imaging devices. While in additive systems a measurement of their few primaries and per-channel non-linearities versus luminance is a sufficient basis for predicting color output, printing typically requires the measurement of a large number of colorant combinations. This requirement for many measurements makes accurate color output more challenging and means that setting up a printing systems color control can be time consuming and costly. The solution presented in this paper involves a new use of the HANS approach, which instead of print optimization looks for simplifying print color formation and therefore also control. In a nutshell this can be achieved by only ever combining eight basic colorant patterns, which results in a display-like color gamut and allows for color control on the basis of their eight measurements and those of the printing systems optical dot gain." <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cic21-8-vertex-hans-s-131108151721-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Co-authors: Peter Morovic, Mart鱈 Rius and Juan Manuel Garc鱈a-Reyero. Presented at 21st IS&amp;T Color and Imaging Conference on 8th November 2013. &quot;The underlying non-linearity of how print colorants combine makes color control in printing significantly more complex than for other color imaging devices. While in additive systems a measurement of their few primaries and per-channel non-linearities versus luminance is a sufficient basis for predicting color output, printing typically requires the measurement of a large number of colorant combinations. This requirement for many measurements makes accurate color output more challenging and means that setting up a printing systems color control can be time consuming and costly. The solution presented in this paper involves a new use of the HANS approach, which instead of print optimization looks for simplifying print color formation and therefore also control. In a nutshell this can be achieved by only ever combining eight basic colorant patterns, which results in a display-like color gamut and allows for color control on the basis of their eight measurements and those of the printing systems optical dot gain.&quot;
8 vertex HANS: An ultra-simple printer color architecture from Jan Morovic
]]> 1199 2 https://cdn.slidesharecdn.com/ss_thumbnails/cic21-8-vertex-hans-s-131108151721-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Spectral Printer: From Technical Challenge To Business Case 鐃 /jmorovic/spectral-printing-challenges spectralprintingchallenges-130314155644-phpapp01
Talk presented at 8th ROND Conference on 14th March 2013 in rnsk旦ldsvik, Sweden.]]>
Talk presented at 8th ROND Conference on 14th March 2013 in rnsk旦ldsvik, Sweden.]]> Thu, 14 Mar 2013 15:56:44 GMT /jmorovic/spectral-printing-challenges jmorovic@slideshare.net(jmorovic) The Spectral Printer: From Technical Challenge To Business Case 鐃 jmorovic Talk presented at 8th ROND Conference on 14th March 2013 in rnsk旦ldsvik, Sweden. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/spectralprintingchallenges-130314155644-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk presented at 8th ROND Conference on 14th March 2013 in rnsk旦ldsvik, Sweden.
The Spectral Printer: From Technical Challenge To Business Case 鐃 from Jan Morovic
]]> 716 3 https://cdn.slidesharecdn.com/ss_thumbnails/spectralprintingchallenges-130314155644-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Revisiting spectral printing: A data-driven approach /slideshow/revisiting-spectral-printing-a-datadriven-approach/15214682 revisitingspectralprinting-121116151511-phpapp02
Spectral printing is a wellestablished part of imaging that can boast of a rich body of literature. Nonetheless there has been limited commercial uptake of this approach to visual content reproduction, in spite of its clear benefits. The aim of the present paper is therefore to explore what may lie behind this apparent mismatch by looking at how colorimetric (metameric) and spectral reproduction compare on an 11ink printing system. To aid the above exploration, the paper proposes a new metric for evaluating spectral reproduction in a visually meaningful way and presents an analysis of the spectral properties of colorimetric and spectral reproductions of a variety of original content including spot colors and fine art.]]>
Spectral printing is a wellestablished part of imaging that can boast of a rich body of literature. Nonetheless there has been limited commercial uptake of this approach to visual content reproduction, in spite of its clear benefits. The aim of the present paper is therefore to explore what may lie behind this apparent mismatch by looking at how colorimetric (metameric) and spectral reproduction compare on an 11ink printing system. To aid the above exploration, the paper proposes a new metric for evaluating spectral reproduction in a visually meaningful way and presents an analysis of the spectral properties of colorimetric and spectral reproductions of a variety of original content including spot colors and fine art.]]> Fri, 16 Nov 2012 15:15:08 GMT /slideshow/revisiting-spectral-printing-a-datadriven-approach/15214682 jmorovic@slideshare.net(jmorovic) Revisiting spectral printing: A data-driven approach jmorovic Spectral printing is a wellestablished part of imaging that can boast of a rich body of literature. Nonetheless there has been limited commercial uptake of this approach to visual content reproduction, in spite of its clear benefits. The aim of the present paper is therefore to explore what may lie behind this apparent mismatch by looking at how colorimetric (metameric) and spectral reproduction compare on an 11ink printing system. To aid the above exploration, the paper proposes a new metric for evaluating spectral reproduction in a visually meaningful way and presents an analysis of the spectral properties of colorimetric and spectral reproductions of a variety of original content including spot colors and fine art. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/revisitingspectralprinting-121116151511-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Spectral printing is a wellestablished part of imaging that can boast of a rich body of literature. Nonetheless there has been limited commercial uptake of this approach to visual content reproduction, in spite of its clear benefits. The aim of the present paper is therefore to explore what may lie behind this apparent mismatch by looking at how colorimetric (metameric) and spectral reproduction compare on an 11ink printing system. To aid the above exploration, the paper proposes a new metric for evaluating spectral reproduction in a visually meaningful way and presents an analysis of the spectral properties of colorimetric and spectral reproductions of a variety of original content including spot colors and fine art.
Revisiting spectral printing: A data-driven approach from Jan Morovic
]]> 594 2 https://cdn.slidesharecdn.com/ss_thumbnails/revisitingspectralprinting-121116151511-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 CIC@20 Printing (invited talk) /slideshow/cic20-printing-invited-talk/15214627 cic20printing-121116151113-phpapp01
Invited paper at the 20th Color and Imaging Conference, presenting a review of the a]]>
Invited paper at the 20th Color and Imaging Conference, presenting a review of the a]]> Fri, 16 Nov 2012 15:11:10 GMT /slideshow/cic20-printing-invited-talk/15214627 jmorovic@slideshare.net(jmorovic) CIC@20 Printing (invited talk) jmorovic Invited paper at the 20th Color and Imaging Conference, presenting a review of the a <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cic20printing-121116151113-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited paper at the 20th Color and Imaging Conference, presenting a review of the a
CIC@20 Printing (invited talk) from Jan Morovic
]]> 419 3 https://cdn.slidesharecdn.com/ss_thumbnails/cic20printing-121116151113-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Color: from craft to computation /slideshow/color-from-craft-to-computation/14482004 darmstadtkeynote20120927presented-120927045049-phpapp02
Keynote presented at this year's German Color Group Image Processing Workshop in Darmstadt.]]>
Keynote presented at this year's German Color Group Image Processing Workshop in Darmstadt.]]> Thu, 27 Sep 2012 04:50:45 GMT /slideshow/color-from-craft-to-computation/14482004 jmorovic@slideshare.net(jmorovic) Color: from craft to computation jmorovic Keynote presented at this year's German Color Group Image Processing Workshop in Darmstadt. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/darmstadtkeynote20120927presented-120927045049-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Keynote presented at this year&#39;s German Color Group Image Processing Workshop in Darmstadt.
Color: from craft to computation from Jan Morovic
]]> 506 2 https://cdn.slidesharecdn.com/ss_thumbnails/darmstadtkeynote20120927presented-120927045049-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Why we dont know how many colors there are /slideshow/why-we-dont-know-how-many-colors-there-are/12876122 cgiv12cheung-120510033051-phpapp02
There have been many attempts to answer the question of how many distinct colors there are, with widely varying answers. Here we present an analysis of what it would take to arrive at a reliable answer and show how currently available models fail to make predictions under the wide range of conditions that needs to be considered. Gamut volumes are reported for a number of light sources and viewing modes and the conclusion is drawn that the only reliable data we have comes from psychophysical work. The color gamut of the LUTCHI data in CIECAM02 is therefore shown as an alternative to the gamut of all possible colors.]]>
There have been many attempts to answer the question of how many distinct colors there are, with widely varying answers. Here we present an analysis of what it would take to arrive at a reliable answer and show how currently available models fail to make predictions under the wide range of conditions that needs to be considered. Gamut volumes are reported for a number of light sources and viewing modes and the conclusion is drawn that the only reliable data we have comes from psychophysical work. The color gamut of the LUTCHI data in CIECAM02 is therefore shown as an alternative to the gamut of all possible colors.]]> Thu, 10 May 2012 03:30:47 GMT /slideshow/why-we-dont-know-how-many-colors-there-are/12876122 jmorovic@slideshare.net(jmorovic) Why we dont know how many colors there are jmorovic There have been many attempts to answer the question of how many distinct colors there are, with widely varying answers. Here we present an analysis of what it would take to arrive at a reliable answer and show how currently available models fail to make predictions under the wide range of conditions that needs to be considered. Gamut volumes are reported for a number of light sources and viewing modes and the conclusion is drawn that the only reliable data we have comes from psychophysical work. The color gamut of the LUTCHI data in CIECAM02 is therefore shown as an alternative to the gamut of all possible colors. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cgiv12cheung-120510033051-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There have been many attempts to answer the question of how many distinct colors there are, with widely varying answers. Here we present an analysis of what it would take to arrive at a reliable answer and show how currently available models fail to make predictions under the wide range of conditions that needs to be considered. Gamut volumes are reported for a number of light sources and viewing modes and the conclusion is drawn that the only reliable data we have comes from psychophysical work. The color gamut of the LUTCHI data in CIECAM02 is therefore shown as an alternative to the gamut of all possible colors.
Why we dont know how many colors there are from Jan Morovic
]]> 2389 5 https://cdn.slidesharecdn.com/ss_thumbnails/cgiv12cheung-120510033051-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 HANS: Enabling CMY Metamers /slideshow/hans-enabling-cmy-metamers/8575520 icchpdphanssubmitted-110712101930-phpapp01
]]>
]]> Tue, 12 Jul 2011 10:19:25 GMT /slideshow/hans-enabling-cmy-metamers/8575520 jmorovic@slideshare.net(jmorovic) HANS: Enabling CMY Metamers jmorovic <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/icchpdphanssubmitted-110712101930-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
HANS: Enabling CMY Metamers from Jan Morovic
]]> 969 1 https://cdn.slidesharecdn.com/ss_thumbnails/icchpdphanssubmitted-110712101930-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Welcome to ICC/HP Digital Print Day /slideshow/welcome-to-icchp-digital-print-day/8575482 icchpdigiprintdaywelcomesubmitted-110712101632-phpapp02
Welcome talk given at ICC/HP Digital Print Day on 15th June 2011]]>
Welcome talk given at ICC/HP Digital Print Day on 15th June 2011]]> Tue, 12 Jul 2011 10:16:31 GMT /slideshow/welcome-to-icchp-digital-print-day/8575482 jmorovic@slideshare.net(jmorovic) Welcome to ICC/HP Digital Print Day jmorovic Welcome talk given at ICC/HP Digital Print Day on 15th June 2011 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/icchpdigiprintdaywelcomesubmitted-110712101632-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Welcome talk given at ICC/HP Digital Print Day on 15th June 2011
Welcome to ICC/HP Digital Print Day from Jan Morovic
]]> 1214 1 https://cdn.slidesharecdn.com/ss_thumbnails/icchpdigiprintdaywelcomesubmitted-110712101632-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 CIE Division 8 Vision for 2011-2015 /slideshow/cie-division-8-vision-for-20112015/8575398 cied8visionpresented-110712100928-phpapp01
Incoming director's presentation of vision for CIE Divi]]>
Incoming director's presentation of vision for CIE Divi]]> Tue, 12 Jul 2011 10:09:25 GMT /slideshow/cie-division-8-vision-for-20112015/8575398 jmorovic@slideshare.net(jmorovic) CIE Division 8 Vision for 2011-2015 jmorovic Incoming director's presentation of vision for CIE Divi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cied8visionpresented-110712100928-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Incoming director&#39;s presentation of vision for CIE Divi
CIE Division 8 Vision for 2011-2015 from Jan Morovic
]]> 687 9 https://cdn.slidesharecdn.com/ss_thumbnails/cied8visionpresented-110712100928-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 HANS - A New Color Separation And Halftoning Paradigm /slideshow/hans-a-new-color-separation-and-halfroning-paradigm/5783914 cic18hans-12898242913711-phpapp02
際際滷s shown at 18th Color and Imaging Conference in San Antonio, TX on 12 November 2010. Please, refer to conference paper for details.]]>
際際滷s shown at 18th Color and Imaging Conference in San Antonio, TX on 12 November 2010. Please, refer to conference paper for details.]]> Mon, 15 Nov 2010 06:32:56 GMT /slideshow/hans-a-new-color-separation-and-halfroning-paradigm/5783914 jmorovic@slideshare.net(jmorovic) HANS - A New Color Separation And Halftoning Paradigm jmorovic 際際滷s shown at 18th Color and Imaging Conference in San Antonio, TX on 12 November 2010. Please, refer to conference paper for details. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cic18hans-12898242913711-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s shown at 18th Color and Imaging Conference in San Antonio, TX on 12 November 2010. Please, refer to conference paper for details.
HANS - A New Color Separation And Halftoning Paradigm from Jan Morovic
]]> 1761 2 https://cdn.slidesharecdn.com/ss_thumbnails/cic18hans-12898242913711-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 RGB inks in a CMYK world /jmorovic/rgb-inks-in-a-cmyk-world cmsrgbinkscmykworlds-100301085723-phpapp02
Invited talk given at Fogra Colour Management Symposium on 26th February 2010 in Munich, Germany.]]>
Invited talk given at Fogra Colour Management Symposium on 26th February 2010 in Munich, Germany.]]> Mon, 01 Mar 2010 08:52:37 GMT /jmorovic/rgb-inks-in-a-cmyk-world jmorovic@slideshare.net(jmorovic) RGB inks in a CMYK world jmorovic Invited talk given at Fogra Colour Management Symposium on 26th February 2010 in Munich, Germany. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cmsrgbinkscmykworlds-100301085723-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited talk given at Fogra Colour Management Symposium on 26th February 2010 in Munich, Germany.
RGB inks in a CMYK world from Jan Morovic
]]> 1335 4 https://cdn.slidesharecdn.com/ss_thumbnails/cmsrgbinkscmykworlds-100301085723-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 HP Color Enhancement /slideshow/hp-color-enhancement-2510466/2510466 hpcolorenhancementpub-091116080606-phpapp02
Presentation given at 17th Color Imaging Conference as part of Color Enhancement panel discussion.]]>
Presentation given at 17th Color Imaging Conference as part of Color Enhancement panel discussion.]]> Mon, 16 Nov 2009 08:06:02 GMT /slideshow/hp-color-enhancement-2510466/2510466 jmorovic@slideshare.net(jmorovic) HP Color Enhancement jmorovic Presentation given at 17th Color Imaging Conference as part of Color Enhancement panel discussion. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hpcolorenhancementpub-091116080606-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation given at 17th Color Imaging Conference as part of Color Enhancement panel discussion.
HP Color Enhancement from Jan Morovic
]]> 516 4 https://cdn.slidesharecdn.com/ss_thumbnails/hpcolorenhancementpub-091116080606-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-jmorovic-48x48.jpg?cb=1543419300 I think therefore thought; a photo always lies; color is in the mind of the beholder; ut unum sint about.me/janmorovic https://cdn.slidesharecdn.com/ss_thumbnails/cic26colorcolorprocessing-181128153707-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/color-color-processing/124278534 Color Color Processing https://cdn.slidesharecdn.com/ss_thumbnails/cic24displaypresentation20161025-161109183827-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/largegamut-color-and-spectral-display-using-subwavelength-gratings/68511274 Large-gamut color and... https://cdn.slidesharecdn.com/ss_thumbnails/cic21-8-vertex-hans-s-131108151721-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/cic21-8-vertexhanss/28052520 8 vertex HANS: An ultr...