IEEE Trans Image Process - 2-Step scalar deadzone quantization for bitplane image coding.

Tópicos

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Resumo

Modern lossy image coding systems generate a quality progressive codestream that, truncated at increasing rates, produces an image with decreasing distortion. Quality progressivity is commonly provided by an embedded quantizer that employs uniform scalar deadzone quantization (USDQ) together with a bitplane coding strategy. This paper introduces a 2-step scalar deadzone quantization (2SDQ) scheme that achieves same coding performance as that of USDQ while reducing the coding passes and the emitted symbols of the bitplane coding engine. This serves to reduce the computational costs of the codec and/or to code high dynamic range images. The main insights behind 2SDQ are the use of two quantization step sizes that approximate wavelet coefficients with more or less precision depending on their density, and a rate-distortion optimization technique that adjusts the distortion decreases produced when coding 2SDQ indexes. The integration of 2SDQ in current codecs is straightforward. The applicability and efficiency of 2SDQ are demonstrated within the framework of JPEG2000.

Resumo Limpo

modern lossi imag code system generat qualiti progress codestream truncat increas rate produc imag decreas distort qualiti progress common provid embed quantiz employ uniform scalar deadzon quantiz usdq togeth bitplan code strategi paper introduc step scalar deadzon quantiz sdq scheme achiev code perform usdq reduc code pass emit symbol bitplan code engin serv reduc comput cost codec andor code high dynam rang imag main insight behind sdq use two quantiz step size approxim wavelet coeffici less precis depend densiti ratedistort optim techniqu adjust distort decreas produc code sdq index integr sdq current codec straightforward applic effici sdq demonstr within framework jpeg

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