Image Processing

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This document discusses the hardware and software components used for high performance satellite image processing. The key hardware components are graphics processing units (GPUs) and digital signal processors (DSPs) which offer parallel processing architectures and increased clock speeds to boost image processing performance. Java software is also discussed as it allows for multithreading, extensibility, and efficient visualization to complete image processing tasks quickly and simply. Specific GPU and DSP models are mentioned as examples.

computer system 1
High Performance Satellite Image Processing

What is computer system?
Computer systems
is include the computer along with any software
and peripheral devices that are necessary to make
the computer function.

IMAGE PROCESSING
A general term used to refer a computational
method that manipulate, modify, or analyze
images.
Hardware:
• Processor example digital signal processor(DSP)
and Graphic processing unit(GPU)
Software:
• Java

Hardware:
1.Processor
GPU (GRAPHICS PROCESSING UNITS)

Graphics Processing Unit (GPU)
Performance:
 Increase high performance image processing.
 Increase clock speed.
 Embedded system.
 Highly parallel structure.
 Parallel processing architecture.

Digital Signal Processing(DSP)
Performance:
 Multi-core processor architecture.
 Bayer transformation.
 Demos icing.
 Noise reduction.
 Image sharpening.

Software: Java
Performance
 High performance image processing.
 Multi-core CPU.
 Native support for multithreading.
 Efficient visualization and animation.
 Java also has fixed bit.
 High level of extensibility to allow arbitrary
processing capabilities.
 Complete task in short time and simple.

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Image Processing

1. computer system 1 High Performance Satellite Image Processing

2. What is computer system? Computer systems is include the computer along with any software and peripheral devices that are necessary to make the computer function.

3. IMAGE PROCESSING A general term used to refer a computational method that manipulate, modify, or analyze images. Hardware: • Processor example digital signal processor(DSP) and Graphic processing unit(GPU) Software: • Java

4. Hardware: 1.Processor GPU (GRAPHICS PROCESSING UNITS)

5. Graphics Processing Unit (GPU) Performance:  Increase high performance image processing.  Increase clock speed.  Embedded system.  Highly parallel structure.  Parallel processing architecture.

6. GeForce GTX 980M

7. Digital Signal Processing(DSP) Performance:  Multi-core processor architecture.  Bayer transformation.  Demos icing.  Noise reduction.  Image sharpening.

8. DIGITAL SIGNAL PROCESSOR (MSC8144 DSP)

9. Software: Java Performance  High performance image processing.  Multi-core CPU.  Native support for multithreading.  Efficient visualization and animation.  Java also has fixed bit.  High level of extensibility to allow arbitrary processing capabilities.  Complete task in short time and simple.

10. CONTINUE TO SYSTEM 2 THANK YOU 

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Image Processing

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