By "undo the quantization" I mean element-wise multiply by the quantization 
matrix, certainly the rounding is irreversible (I know the JPEG algorithm).

Anyway I think it's irrelevant it sounds like the lowest level information 
I can easily get is the DCT coefficients, which is fine since I can easily 
convert them to a sparse format which should be mathematically equivalent 
to what I would have if I had the RLC directly. 

Thanks a lot for your help

On Wednesday, February 21, 2018 at 12:44:34 PM UTC-5, DRC wrote:
>
> Run-length encoding is baked into the Huffman algorithm.  Quantization 
> is irreversible.  That is what makes JPEG a lossy format, in fact.  Once 
> the DCT coefficients are quantized, they are irrevocably altered, so 
> there is no way to "undo" quantization.  The Huffman decoder outputs the 
> quantized DCT coefficients.  The Huffman encoder inputs the quantized 
> DCT coefficients.  At least in our implementation, there is no 
> intermediate step between quantized DCT coefficients and Huffman coding. 
>
>
> On 2/21/18 10:28 AM, Max wrote: 
> > Interesting OK, so my understanding was that the DCT blocks are 
> > run-length coded first to make the huffman coding more efficient, 
> > especially since the end of a block is probably going to consist of a 
> > bunch of 0s, you would store the number of 0s instead of each 0 
> > separately. This would lead to a so-called sparse matrix, where you 
> > store the index of non-zero blocks and their values rather than the full 
> > matrix (like a 2d array or something), which certain processing 
> > algorithms can exploit to get a massive speed boost. 
> > 
> > Does the Huffman decoder also undo the quantization then? 
>

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