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Jul 17, 2017 at 18:11 comment added MimSaad @LutzL , I read your comment and find it very useful, I wish you posted it as an answer.
Jun 22, 2016 at 20:40 answer added DaBler timeline score: 2
Dec 28, 2013 at 10:21 comment added Lutz Lehmann You already said it all: ease of implementation, fastest for moderately short filters. The only drawback is that you have to find the factorization of the filter bank matrix first, but for the jpeg2000 wavelets, these are widely documented. -- Also, if you go to lossless transformations, the lifting scheme can be implemented in a way that rounding errors are accounted for, i.e., rounding in the trend component is compensated by a correction to the detail coefficients (losing linearity and symmetry in the lowest bits), so that reconstruction is perfect.
Dec 23, 2013 at 19:35 comment added marekszpak Hi Peter! I am working on a jpeg2000 compressor this is a school project. Unfortunately this course is a bit messy and I want to know advantages of bi-orthogonal 9/7 lifting beyond bi-orthogonal 9/7 filer bank. Teacher said only that lifting is better. But I want to understand why. For implementation of the filter bank we used convolution and unfortunately apart from the fact that lifting is easier to implement and that the complexity is lower because there are no Fourier transform to perform, we don't know why this is better.
Dec 23, 2013 at 14:06 comment added Peter K. Can you give more details? Which "lifting scheme" are you talking about? A link to a specific algorithm or implementation would improve the quality of your question.
Dec 21, 2013 at 14:35 review Low quality posts
Dec 23, 2013 at 14:06
S Dec 21, 2013 at 14:33 history edited Deve CC BY-SA 3.0
Put the question into better words
S Dec 21, 2013 at 14:33 history suggested Armin Mustafa CC BY-SA 3.0
Put the question into better words
Dec 21, 2013 at 13:13 review Suggested edits
Dec 21, 2013 at 14:33
Dec 21, 2013 at 11:54 review First posts
Dec 22, 2013 at 1:03
Dec 21, 2013 at 11:37 history asked marekszpak CC BY-SA 3.0