DocumentCode
418250
Title
Laplacian model-based inverse quantization for DCT-based image codec system
Author
Seo, Kwang-deok ; Yoo, Kook-Yeol ; Kim, Jae-kyoon
Author_Institution
Lab. of CDMA Handsets, LG Electron., Seoul, South Korea
Volume
3
fYear
2004
fDate
23-26 May 2004
Abstract
Quantization is an essential step which leads to compression in discrete cosine transform (DCT) domain. In this paper, we show how a statistically non-optimal uniform quantizer can be improved by employing an efficient reconstruction method. For this method, we estimate the probability distribution function (PDF) of original DCT coefficients in a decoder. The proposed method can be used practically in any applications where uniform quantizers are used.
Keywords
Laplace transforms; codecs; discrete cosine transforms; image coding; image reconstruction; vector quantisation; DCT coefficients; DCT-based image codec system; Laplacian model-based inverse quantization; discrete cosine transform; probability distribution function; reconstruction method; statistically nonoptimal uniform quantizer; Codecs; Decoding; Discrete cosine transforms; Image coding; Image reconstruction; Inverse problems; Laplace equations; Quantization; Reconstruction algorithms; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN
0-7803-8251-X
Type
conf
DOI
10.1109/ISCAS.2004.1328888
Filename
1328888
Link To Document