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Proceedings Paper

Modeling quantization matrices for perceptual image/video encoding
Author(s): Huipin Zhang; Guy Cote
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Paper Abstract

Quantization matrix is an important encoding tool for discrete cosine transform (DCT) based perceptual image / video encoding in that DCT coefficients can be quantized according to the sensitivity of the human visual system to the coefficients' corresponding spatial frequencies. A quadratic model is introduced to parameterize the quantization matrices. This model is then used to optimize quantization matrices for a specific bitrate or bitrate range by maximizing the expected encoding quality via a trial based multidimensional numerical search method. The model is simple yet it characterizes the slope and the convexity of the quantization matrices along the horizontal, the vertical and the diagonal directions. The advantage of the model for improving perceptual video encoding quality is demonstrated with simulations using H.264 / AVC video encoding.

Paper Details

Date Published: 28 January 2008
PDF: 8 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682210 (28 January 2008); doi: 10.1117/12.767137
Show Author Affiliations
Huipin Zhang, Cisco Systems, Inc. (United States)
Guy Cote, Mobilygen Corp. (United States)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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