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Proving still retains value. Because you reduce the burden of choosing a good algorihtm to choosing good assumptions.


One common set of assumptions in image denoising is that:

1. The pixels in the output image should be close in value to the corresponding pixels in the input image.

2. Neighboring pixels in the output image should have similar values.

I wonder if anyone has compared compression techniques using these sorts of assumptions.




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