Title :
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
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;
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
DOI :
10.1109/TENCON.1994.369265