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22 October 1993 Optimal subband filters to maximize coding gain
Masayuki Tanimoto, Akio Yamada, Norio Wakatsuki
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Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157983
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
Abstract
The optimal analysis/synthesis filters giving the maximum coding gain are derived in subband schemes. The optimal analysis filters consist of the emphasis of the picture signal and ideal band-splitting. The characteristics of the emphasis is determined by the spectrum of the picture signal. A large improvement of coding gain is achieved by the subband scheme with the optimal subband filters obtained here. Approximated emphasis characteristic determined from a spectrum model of picture signals can be used and the ideal band-splitting filters can be replaced by conventional subband filters since the degradation of coding gain due to these approximations is small. Computer simulation of super HD image coding by the proposed scheme is performed. SN ratio of the reconstructed image is increased and edges are reconstructed very well compared to the conventional subband scheme. The proposed scheme is very suited to super HD image coding since the improvement of SN ratio is large for images with high correlation between the neighboring pixels.
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Masayuki Tanimoto, Akio Yamada, and Norio Wakatsuki "Optimal subband filters to maximize coding gain", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157983
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KEYWORDS
Optimal filtering
Image compression
Computer simulations
Electronic filtering
Optical filters
Computer programming
Image filtering
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