Distribution-based restoration of DCT coefficients

Author

Lakhani, Gopal

Author_Institution

Texas Tech. Univ., Lubbock, TX, USA

Volume

10

Issue

5

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

819

Lastpage

823

Abstract

Although it is established that the distribution of the discrete cosine transform coefficients can be modeled, it is not known how this knowledge can best be applied to improve the JPEG compression algorithms. We studied this problem by making modifications to both the JPEG baseline encoder and decoder separately. Experimental results show that modifications to the decoder alone do not reduce any compression losses. However, if the encoder is also modified, the losses can be reduced, but only marginally

Keywords

data compression; decoding; discrete cosine transforms; image coding; image restoration; quantisation (signal); statistical analysis; transform coding; DCT coefficients; JPEG baseline decoder; JPEG baseline encoder; JPEG compression algorithms; JPEG standard; compression losses reduction; discrete cosine transform coefficients; distribution-based restoration; experimental results; image compression; quantization losses; Compression algorithms; Decoding; Discrete cosine transforms; Distributed computing; Frequency; Image coding; Image restoration; Laplace equations; Quantization; Transform coding;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.856460

Filename

856460