Subband Compression of Images: Principals and Examples
T.A. Ramstad, S.O. Aase, John Håkon Hus∅y · Elsevier eBooks · 1995
Part 1 Introduction: image digitization image compressibility practical approaches to the coding problem. Part 2 Exact signal decomposition: series expansion - block transforms series expansion - multirate filter banks the PR conditions and biorthogonality extension of finite length signals a design method for FIR filter banks. Part 3 Filter bank structures: ?????-domain notation ?????-domain PR filter bank conditions polyphase filter bank structures two-channel filter banks tree structured filter banks parallel filter banks. Part 4 Bit efficient quantization: scalar quantization vector quantization scalar quantization and mixture distributions. Part 5 Gain-optimized subband coders: gain in subband coders reformulation of the optimal subband system system quantizer replaced by DPCM coder lapped orthogonal transforms (LOTs). Part 6 Classical subband coding: subband statistics scalar image subband quantization extension to colour images. Part 7 Coding examples and comparisons: blurring distortion ringing noise blocking distortion comparing circular and mirror extension. Part 8 Remedies for coding artifacts: classification of image defects FIR filter bands for robust coding subband coding with adaptive filter banks dynamic entropy coding. Part 9 Subband coding of video: approaches to coding of digital video low-to-medium rate coding medium-to-high rate coding. Part 10 Some digital signal processing facts: allpass filters anticausal filtering multirate digital signal processing. Part 11 The heisenberg uncertainty relation - filter coefficients: Johnston filters two-channel filter banks based on allpass filters parallel filter bands based on allpass filters parallel FIR filter banks.