A comparative study of JPEG and residual VQ compression of radar imagery

Barnes, Christopher F.; Sjoberg, E.S.

doi:10.1109/ntc.1993.292985

Cited by 1 publication

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“…The thresholds were obtained from training data in [122] and [125] and employed in such a way that side information was not required. The thresholds used in [56] and [126] were derived not from training data but from the image to be encoded. In that technique, the total energy of the input image Elmage was determined and divided by the number of vectors N x N contained in the image.…”

Section: Variable Block Rate Rvq'smentioning

confidence: 99%

Advances in residual vector quantization: a review

Barnes

Rizvi²,

Nasrabadi³

1996

IEEE Trans. on Image Process.

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Advances in residual vector quantization (RVQ) are surveyed. Definitions of joint encoder optimality and joint decoder optimality are discussed. Design techniques for RVQs with large numbers of stages and generally different encoder and decoder codebooks are elaborated and extended. Fixed-rate RVQs, and variable-rate RVQs that employ entropy coding are examined. Predictive and finite state RVQs designed and integrated into neural-network based source coding structures are revisited. Successive approximation RVQs that achieve embedded and refinable coding are reviewed. A new type of successive approximation RVQ that varies the instantaneous block rate by using different numbers of stages on different blocks is introduced and applied to image waveforms, and a scalar version of the new residual quantizer is applied to image subbands in an embedded wavelet transform coding system.

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Section: Variable Block Rate Rvq'smentioning

confidence: 99%