Paper
4 January 2002 Optimal nearly uniform scalar quantizer design for wavelet coding
Author Affiliations +
Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453043
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
Uniform scalar quantizers are widely used in image coding. They are known to be optimum entropy constrained scalar quantizers within the high resolution assumption. In this paper, we focus on the design of nearly uniform scalar quantizers for high performance coding of wavelet coefficients whatever the bitrate is. Some codecs use uniform scalar quantizers with a zero quantization bin size (deadzone) equal to two times the other quantization bin sizes (for example JPEG2000). We address the problem of deadzone size optimization using distortion rate considerations. The advantages of the proposed method are that the quantizer design is adapted to both the source statistics and the compression ratio. Our method is based on statistical information of the wavelet coefficients distribution. It provides experimental gains up to 0.19 dB.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christophe Parisot, Marc Antonini, and Michel Barlaud "Optimal nearly uniform scalar quantizer design for wavelet coding", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453043
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Cited by 11 scholarly publications.
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KEYWORDS
Quantization

Wavelets

Signal to noise ratio

Distortion

Image compression

JPEG2000

Data compression

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