Discrete directional wavelet image coder based on fast R-D optimized quadtree decomposition

Authors:
Ping Zuo;Hui liu;Siliang Ma
Affiliations:
Department of Mathematics, Jilin University, Changchun, P.R. China and Aviation University of Air Focus, Changchun, P.R. China;Department of Mathematics, Jilin University, Changchun, P.R. China;Department of Mathematics, Jilin University, Changchun, P.R. China
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

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Abstract

A new image coding method based on discrete directional wavelet transform (S-WT) and quadtree decomposition is proposed here. The S-WT is a kind of transform proposed in [1], which is based on lattice theory, and with the difference with the standard wavelet transform is that the former allows more transform directions. Because the directional property in a small region is more regular than in a big block generally, in order to sufficient make use of the multidirectionality and directional vanishing moment(DVM) of S-WT, the input image is divided into many small regions by means of the popular quadtree segmentation, and the splitting criterion is on the rate-distortion sense. After the optimal quadtree is obtained, a resource bit allocation algorithm is fast implemented utilizing the model proposed in [15]. Experiment results indicate that our algorithms perform better compared to some state-of-the-art image coders.