IEEE Trans Image Process - Generalized PCM coding of images.

Tópicos

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Resumo

Pulse-code modulation (PCM) with embedded quantization allows the rate of the PCM bitstream to be reduced by simply removing a fixed number of least significant bits from each codeword. Although this source coding technique is extremely simple, it has a poor coding efficiency. In this paper, we present a generalized PCM (GPCM) algorithm for images that simply removes bits from each codeword. In contrast to PCM, however, the number and the specific bits that a GPCM encoder removes in each codeword depends on its position in the bitstream and the statistics of the image. Since GPCM allows the encoding to be performed with different degrees of computational complexity, it can adapt to the computational resources that are available in each application. Experimental results show that GPCM outperforms PCM with a gain that depends on the rate, the computational complexity of the encoding, and the degree of inter-pixel correlation of the image.

Resumo Limpo

pulsecod modul pcm embed quantiz allow rate pcm bitstream reduc simpli remov fix number least signific bit codeword although sourc code techniqu extrem simpl poor code effici paper present general pcm gpcm algorithm imag simpli remov bit codeword contrast pcm howev number specif bit gpcm encod remov codeword depend posit bitstream statist imag sinc gpcm allow encod perform differ degre comput complex can adapt comput resourc avail applic experiment result show gpcm outperform pcm gain depend rate comput complex encod degre interpixel correl imag

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