NDLI: Nonuniform threshold trellis coded quantization for image transmission through noisy channels

Content Provider	IEEE Xplore Digital Library
Author	Zhaohui Sun Chang Wen Chen
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. Eng., Rochester Univ., NY, USA (Zhaohui Sun)
Abstract	We propose a joint source/channel coding scheme to transmit image through binary noisy channels based on 2-D discrete cosine transform (DCT) and nonuniform threshold trellis coded quantization (NUTTCQ). After the discrete cosine transform, the source image is decomposed into several subsources according to the transform coefficient positions, i.e. the same frequency coefficients in different DCT blocks are grouped together as a single subsource. The subsources are modeled by a generalized Gaussian distribution (GGD), and the statistical parameters of the GGDs and channel characteristics are used to construct the scalar codebooks for NUTTCQ at both the encoder and the decoder. The transform coefficients are quantized by these fixed-rate quantizers and transmitted through noisy channels. The steepest descent method and iterative schemes are employed to determine the optimum bit allocation among the subsources subject to the constraints of the average coding rate and allowable maximum bits to each sample. Neighborhood relationship is employed to limit the searching space when a bit is to be allocated to a certain subsource. Simulation results show that the performance is very promising.
Starting Page	1129
Ending Page	1132
File Size	505019
Page Count	4
File Format	PDF
ISBN	078033583X
DOI	10.1109/ISCAS.1997.621963
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-12
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Image communication Discrete cosine transforms Image coding Channel coding Decoding Bit rate Image reconstruction Bit error rate Sun
Content Type	Text
Resource Type	Article

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