Re: (statistics)how to make date more like Laplacian distribution?

Hi, Marco,

> Statistics and deblocking are not the answer, your transform is the
problem.
> Either use more precision to get closer to the true DCT transform, or
> create an invertible transform using lifting/ladder structures.

I think invertible transform is not useful because any way information is
lost after quantization and compression, right? The non-invertible transform
introduces less distortion than that quantization...

>
> If you want to use this method to do deblocking you dont have to make the
> image coefficients more laplacian, but you simple have to fit the
> distribution of the coefficient (across the image) to a laplacian ... then
> you take the parameter for that laplacian and determine from it where in
the
> quantization interval to reconstruct the coefficient.

It is not "simple" for me. Can you tell me how to make the coefficient
values more like Laplacian?

>
> If you are trying to use this in some fashion to combat a poor transform
you
> are barking up the wrong tree. You need to work on the transform, the
paper
> I mentioned earlier has most of the relevant math :
> http://citeseer.nj.nec.com/kim98fixedpoint.html

As I said, fixed-point round-off error only introduces minor distortion than
that of quantization.

Thanks a lot,

-Walala