IEEE Trans Image Process - l2 Restoration of l8-decoded images via soft-decision estimation.

Tópicos

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Resumo

The l(8)-constrained image coding is a technique to achieve substantially lower bit rate than strictly (mathematically) lossless image coding, while still imposing a tight error bound at each pixel. However, this technique becomes inferior in the l(2) distortion metric if the bit rate decreases further. In this paper, we propose a new soft decoding approach to reduce the l(2) distortion of l(8)-decoded images and retain the advantages of both minmax and least-square approximations. The soft decoding is performed in a framework of image restoration that exploits the tight error bounds afforded by the l(8)-constrained coding and employs a context modeler of quantization errors. Experimental results demonstrate that the l(8)-constrained hard decoded images can be restored to gain more than 2 dB in peak signal-to-noise ratio PSNR, while still retaining tight error bounds on every single pixel. The new soft decoding technique can even outperform JPEG 2000 (a state-of-the-art encoder-optimized image codec) for bit rates higher than 1 bpp, a critical rate region for applications of near-lossless image compression. All the coding gains are made without increasing the encoder complexity as the heavy computations to gain coding efficiency are delegated to the decoder.

Resumo Limpo

lconstrain imag code techniqu achiev substanti lower bit rate strict mathemat lossless imag code still impos tight error bound pixel howev techniqu becom inferior l distort metric bit rate decreas paper propos new soft decod approach reduc l distort ldecod imag retain advantag minmax leastsquar approxim soft decod perform framework imag restor exploit tight error bound afford lconstrain code employ context model quantiz error experiment result demonstr lconstrain hard decod imag can restor gain db peak signaltonois ratio psnr still retain tight error bound everi singl pixel new soft decod techniqu can even outperform jpeg stateoftheart encoderoptim imag codec bit rate higher bpp critic rate region applic nearlossless imag compress code gain made without increas encod complex heavi comput gain code effici deleg decod

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