Quantization Algorithm for Color Image Coding Based on Multi-Dimensional Vector Matrix DCT Orthogonal Transformation

Author

Deng, Linlin ; Fu, Ping ; Sang, Aijun ; Mang, Silin

Author_Institution

Dept. of Commun. Eng., Jilin Univ., Changchun, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

The quantization process is a choice for signal after pretreatment. On the premise of guarantee of image quality, we can throw away information which has little effect on visual effect. Because quantization process is origin of information loss based on DCT coding and decoding, the quantizer is good or bad which has effect on coding efficiency and the quality of reconstructed image directly. This paper presents a 3D quantization algorithm for color image coding based on multi-dimensional vector matrix DCT orthogonal transform. Different quantization tables can be determined according to different frequency characteristics of each 8Ã—8Ã—3 3D RGB sub-block by this method. The method proved effective according to experiment.

Keywords

decoding; discrete cosine transforms; image coding; image colour analysis; vector quantisation; 3D RGB sub-block; 3D quantization algorithm; DCT coding; DCT decoding; DCT orthogonal transformation; color image coding; image quality; image reconstruction; information loss; multidimensional vector matrix; Color; Decoding; Discrete cosine transforms; Frequency; Image coding; Image quality; Image reconstruction; Quantization; Signal processing; Visual effects;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5363332

Filename

5363332