Redundancy
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This document discusses different types of redundancy in digital media that can be exploited for data compression. It notes that adjacent audio samples and silent samples are similar, neighboring image pixels are normally similar, and neighboring video frames may be similar. It also states that human perception is less sensitive to exact reproduction and higher spatial frequencies, allowing for transform coding techniques that remove less noticeable parts of the signal.
Redundancy
- 1. Redundancy Adjacent audio samples are similar (predictive encoding); samples corresponding to silence (silence removal) In digital image, neighboring samples on a scanning line are normally similar (spatial redundancy) In digital video, in addition to spatial redundancy, neighboring images in a video sequence may be similar (temporal redundancy) Human Perception Factors Compressed version of digital audio, image, video need not represent the original information exactly Perception sensitivities are different for different signal patterns Human eye is less sensitive to the higher spatial frequency components than the lower frequencies (transform coding)