DocumentCode
1365925
Title
Modelling quantisation error from quantised Laplacian distributions
Author
Lee, Byung-Uk
Author_Institution
Dept. of Inf. Electron., Ewha Women´´s Univ., Seoul, South Korea
Volume
36
Issue
15
fYear
2000
fDate
7/20/2000 12:00:00 AM
Firstpage
1270
Lastpage
1271
Abstract
Post-processing, restoration or transcoding of JPEG and MPEG compressed images require a quantisation error model of discrete cosine transform coefficients. A method is presented to recover the original probability density function (pdf) parameter from quantised data. Assuming that the original pdf of the coefficients is Laplacian. Quantisation errors are calculated from the Laplacian model
Keywords
code standards; coding errors; discrete cosine transforms; error analysis; image coding; probability; quantisation (signal); video coding; DCT coefficients; JPEG compressed images; Laplacian model; MPEG compressed images; PFD parameter recovery; discrete cosine transform coefficients; image compression standards; probability density function; quantisation error modelling; quantised Laplacian distributions; quantised data;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000908
Filename
856198
Link To Document