Statistical distribution of DCT coefficients and their application to an adaptive compression algorithm

Author

Eude, T. ; Cherifi, H. ; Grisel, R.

Author_Institution

ESIGELEC, Mont Saint Aignan, France

fYear

1994

fDate

22-26 Aug 1994

Firstpage

427

Abstract

The paper presents a technique for image compression using the Discrete Cosine Transform (DCT) method. In the Joint Photographic Expert Group norm (JPEG), the image is usually compressed using an “universal” quantization matrix. We propose a technique which employs an appropriate distribution model of the DCT coefficients to deduce the quantization matrix from a set of training images. This technique compared to the classical JPEG gave no blocking effect at the same compression rate

Keywords

data compression; discrete cosine transforms; image coding; DCT coefficients; Discrete Cosine Transform method; JPEG; Joint Photographic Expert Group; adaptive compression algorithm; blocking effect; compression rate; distribution model; image compression; quantization matrix; statistical distribution; training images; Biomedical imaging; Discrete cosine transforms; Hospitals; Image coding; Image reconstruction; Picture archiving and communication systems; Quantization; Redundancy; Statistical distributions; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '94. IEEE Region 10's Ninth Annual International Conference. Theme: Frontiers of Computer Technology. Proceedings of 1994

Print_ISBN

0-7803-1862-5

Type

conf

DOI

10.1109/TENCON.1994.369265

Filename

369265