IEEE Trans Image Process - An efficient DCT-based image compression system based on laplacian transparent composite model.

Tópicos

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Resumo

Recently, a new probability model dubbed the Laplacian transparent composite model (LPTCM) was developed for DCT coefficients, which could identify outlier coefficients in addition to providing superior modeling accuracy. In this paper, we aim at exploring its applications to image compression. To this end, we propose an efficient nonpredictive image compression system, where quantization (including both hard-decision quantization (HDQ) and soft-decision quantization (SDQ)) and entropy coding are completely redesigned based on the LPTCM. When tested over standard test images, the proposed system achieves overall coding results that are among the best and similar to those of H.264 or HEVC intra (predictive) coding, in terms of rate versus visual quality. On the other hand, in terms of rate versus objective quality, it significantly outperforms baseline JPEG by more than 4.3 dB in PSNR on average, with a moderate increase on complexity, and ECEB, the state-of-the-art nonpredictive image coding, by 0.75 dB when SDQ is OFF (i.e., HDQ case), with the same level of computational complexity, and by 1 dB when SDQ is ON, at the cost of slight increase in complexity. In comparison with H.264 intracoding, our system provides an overall 0.4-dB gain or so, with dramatically reduced computational complexity; in comparison with HEVC intracoding, it offers comparable coding performance in the high-rate region or for complicated images, but with only less than 5% of the HEVC intracoding complexity. In addition, our proposed system also offers multiresolution capability, which, together with its comparatively high coding efficiency and low complexity, makes it a good alternative for real-time image processing applications.

Resumo Limpo

recent new probabl model dub laplacian transpar composit model lptcm develop dct coeffici identifi outlier coeffici addit provid superior model accuraci paper aim explor applic imag compress end propos effici nonpredict imag compress system quantiz includ harddecis quantiz hdq softdecis quantiz sdq entropi code complet redesign base lptcm test standard test imag propos system achiev overal code result among best similar h hevc intra predict code term rate versus visual qualiti hand term rate versus object qualiti signific outperform baselin jpeg db psnr averag moder increas complex eceb stateoftheart nonpredict imag code db sdq ie hdq case level comput complex db sdq cost slight increas complex comparison h intracod system provid overal db gain dramat reduc comput complex comparison hevc intracod offer compar code perform highrat region complic imag less hevc intracod complex addit propos system also offer multiresolut capabl togeth compar high code effici low complex make good altern realtim imag process applic

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