Title :
Modelling quantisation error from quantised Laplacian distributions
Author_Institution :
Dept. of Inf. Electron., Ewha Women´´s Univ., Seoul, South Korea
fDate :
7/20/2000 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20000908
