N
Newman
Guest
Stefan,
The huffman coding sounds interesting. From what I remember, most real
image data is spatially correlated. That would lead me to guess that
the most likely difference between two adjacent pixel values is zero,
then one, etc. This would seem to be suitable to use huffman coding
on, by just coding the difference It would be interesting to run
sample scenes through the filter. It is not obvious that a lossless
2:1 reduction can be guaranteed because one could synthesize a scene
that would not compress. Also, the transformed image may not be robust
in the presence of noise. Just my two cents.
-Newman
The huffman coding sounds interesting. From what I remember, most real
image data is spatially correlated. That would lead me to guess that
the most likely difference between two adjacent pixel values is zero,
then one, etc. This would seem to be suitable to use huffman coding
on, by just coding the difference It would be interesting to run
sample scenes through the filter. It is not obvious that a lossless
2:1 reduction can be guaranteed because one could synthesize a scene
that would not compress. Also, the transformed image may not be robust
in the presence of noise. Just my two cents.
-Newman