Title :
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
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 8×8×3 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;
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
DOI :
10.1109/CISE.2009.5363332
