A multiscale relaxation algorithm for SNR maximization in nonorthogonal subband coding
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Summary
A practical solution to the optimization problem is presented in the form of a multiscale relaxation algorithm, using inter- and intrascale quantization noise feedback filters, and bounds on the coding gain over the standard coding technique are derived.
- Type
- article
- Published
- 1995-09-01
- Cited by
- 35
- References
- 29
- OpenAlex
- https://openalex.org/W18292023
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5552889
Keywords
Computer science
References
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Cited by
- Optimal quantization in non-orthogonal subband coders
- Design of optimal cascaded multirate filter banks in the presence of quantization
- Optimal biorthogonal filter banks with minimization of quantization noise amplification
- On linear transform design with non-linear approximation
- Non-causal encoding of predictively coded samples
- Splines: a perfect fit for signal and image processing
- Optimized nonorthogonal transforms for image compression
- Performance analysis of embedded-wavelet coders
- Short-critical-path and structurally orthogonal scaled CORDIC-based approximations of the eight-point discrete cosine transform
- Approximation and Compression With Sparse Orthonormal Transforms
- On the choice of wavelet in image compression applications
- Biorthogonal filterbanks and energy preservation property in image compression
- Wavelets and Subband Coding
- Minimization of quantization noise amplification in biorthogonal subband coders
- Optical flow techniques applied to video coding
- Quantization to maximize SNR in non-orthogonal subband coders
- Optimal Two-Sided Diagonal Scaling for Filter Bank Frames
- Statistical imaging and complexity regularization
- Mathematical properties of the JPEG2000 wavelet filters
- Multiscale modeling and estimation of motion fields for video coding
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