Modeling quantization matrices for perceptual image/video encoding

Huipin Zhang; Guy Cote

doi:10.1117/12.767137

28 January 2008 Modeling quantization matrices for perceptual image / video encoding

Huipin Zhang, Guy Cote

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 682210 (2008) https://doi.org/10.1117/12.767137
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Huipin Zhang and Guy Cote "Modeling quantization matrices for perceptual image / video encoding", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682210 (28 January 2008); https://doi.org/10.1117/12.767137

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available