1 June 1990 Subband image coding using entropy-coded quantization
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Abstract
ABSTRACT In this paper we develop two entropy-coded subband image coding schemes. The difference between these schemes is the procedure used for encoding the lowest frequency subband: predictive coding is used in one system and transform coding in the other. Other subbands are encoded using zero-memory quantization. After a careful study of subband statistics, the quantization parameters, the corresponding Huffman codes and the bit allocation among subbands are all optimized. It is shown that both schemes perform considerably better than the scheme developed by Woods and O'Neil [2]. Roughly speaking, these new schemes perform the same as that in [2] at half the encoding rate. To make a complete comparison against the results in [2] , we have studied the performance of the two schemes developed here as well as that of [2] in the presence of channel noise. After developing a codeword packetization scheme, we demonstrate that the scheme in [2] exhibits significantly higher robustness against the transmission noise.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nariman Farvardin, Naoto Tanabe, "Subband image coding using entropy-coded quantization", Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); doi: 10.1117/12.19508; http://dx.doi.org/10.1117/12.19508
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KEYWORDS
Computer programming

Quantization

Image compression

Image processing

Computing systems

Image transmission

Algorithm development

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