IEEE Trans Image Process - Multiple description image coding based on delta-sigma quantization with rate-distortion optimization.

Tópicos

{ imag(1947) propos(1133) code(1026) }
{ method(2212) result(1239) propos(1039) }
{ imag(2830) propos(1344) filter(1198) }
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{ implement(1333) system(1263) develop(1122) }
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Resumo

Recently, ?stergaard and Zamir revealed the connection between multiple description coding and delta-sigma quantization (DSQ). The principle has been applied to image coding, with main focus on the framework where each block is processed separately. In this brief, we propose a two-channel multiple description image coding scheme that performs inter-block processing. The source image is first rearranged into a block sequence. Then, vector DSQ is performed with a bank of noise-shaping filters. Their coefficients as well as the quantization steps are chosen by a rate-distortion optimization algorithm. A post-processing algorithm is proposed for side decoding. Experiment results show the improvement achieved by the proposed scheme in terms of both peak signal-to-noise ratio values and subjective quality.

Resumo Limpo

recent stergaard zamir reveal connect multipl descript code deltasigma quantiz dsq principl appli imag code main focus framework block process separ brief propos twochannel multipl descript imag code scheme perform interblock process sourc imag first rearrang block sequenc vector dsq perform bank noiseshap filter coeffici well quantiz step chosen ratedistort optim algorithm postprocess algorithm propos side decod experi result show improv achiev propos scheme term peak signaltonois ratio valu subject qualiti

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