(Image compression refers to the lossy or lossless representation of the original pixels with fewer bits, also known as image coding. From a mathematical point of view, this process is actually transforming a two-dimensional array into a set of statistically insignificant associated data.
Common basic principles of image compression: 1 Use the correlation of digital images. There is a strong correlation between the corresponding pixels of the adjacent frames of the moving image. If these correlations are removed, image compression can be realized. Under normal circumstances, human vision is insensitive to sharp changes in the edge, and the color resolution is weak. Use it to achieve image compression.)
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