TY - GEN
T1 - Wavelet image compression based on context predicting with past information in rows (Columns)
AU - Yang, Xiaoyuan
AU - Ren, Hui
AU - Li, Bo
AU - Chen, Zhengzhang
PY - 2007
Y1 - 2007
N2 - In order to exploit correlation between bits of wavelet coefficients as much as possible, this paper presents a new algorithm called Wavelet Image Compression Based on Context Predicting with Past Information in Rows (Columns) on the thought of context-based coding. In the selection of high-order context, this paper presents Seven Points in Three Rows (Columns) Context using mutual information as a theoretical basis. In the prediction and quantization of high-order context, we make use of mathematical tools, such as Fisher discriminant dynamic programming, etc., to obtain a good conditional probability estimate of significance and sign bits of wavelet coefficients. The experiments show that reasonable context modeling of the presented algorithm leads to satisfying results. This paper makes some valuable contributions into finding theoretical bases for wavelet image compression.
AB - In order to exploit correlation between bits of wavelet coefficients as much as possible, this paper presents a new algorithm called Wavelet Image Compression Based on Context Predicting with Past Information in Rows (Columns) on the thought of context-based coding. In the selection of high-order context, this paper presents Seven Points in Three Rows (Columns) Context using mutual information as a theoretical basis. In the prediction and quantization of high-order context, we make use of mathematical tools, such as Fisher discriminant dynamic programming, etc., to obtain a good conditional probability estimate of significance and sign bits of wavelet coefficients. The experiments show that reasonable context modeling of the presented algorithm leads to satisfying results. This paper makes some valuable contributions into finding theoretical bases for wavelet image compression.
UR - https://www.scopus.com/pages/publications/38049083919
U2 - 10.1109/ICNC.2007.812
DO - 10.1109/ICNC.2007.812
M3 - 会议稿件
AN - SCOPUS:38049083919
SN - 0769528759
SN - 9780769528755
T3 - Proceedings - Third International Conference on Natural Computation, ICNC 2007
SP - 629
EP - 634
BT - Proceedings - Third International Conference on Natural Computation, ICNC 2007
T2 - 3rd International Conference on Natural Computation, ICNC 2007
Y2 - 24 August 2007 through 27 August 2007
ER -