Upul Samarawickrama

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A new multiple description coding paradigm is proposed by combining the time-domain lapped transform, block level source splitting, linear prediction, and prediction residual encoding. The method provides effective redundancy control and fully utilizes the source correlation. The joint optimization of all system components and the asymptotic performance(More)
—A low complexity M-channel multiple description coding scheme is developed in this paper, in which each description carries one subset of the input with a higher bit rate and the rest with a lower bit rate. The lower-rate codings in different descriptions are designed to be mutually refinable using staggered scalar quantizers. For correlated sources, a(More)
This paper presents a new low complexity multiple description coding (MDC) method that can generate any number of descriptions. For correlated sources, a special DPCM encoder is used in each description , such that it carries higher rate information of a subset of the samples and lower rate information of the rest. The lower rate codings in different(More)
In this paper, two multiple description coding schemes are developed, based on prediction-induced randomly offset quantizers and unequal-deadzone-induced near-uniformly offset quantizers, respectively. In both schemes, each description encodes one source subset with a small quantization stepsize, and other subsets are predictively coded with a large(More)
A new multiple description image coding paradigm is presented in this paper by combining the lapped transform, block level source splitting, inter-description prediction, and coding of the prediction residual. Jointly optimal designs of all system components are discussed. Compared with the best multiple description image coding algorithm in the literature,(More)
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