Title :
Wavelet transform and its application in image compression
Author :
Zhang Ye ; Zhao Guotian ; Yu Hengchun
Author_Institution :
Dept. of Radio Eng., Harbin Inst. of Technol., China
Abstract :
Discusses the wavelet transform and its applications in image compression. A new method of decompositions of multi-resolution images is proposed according to the wavelet transform theory. The vector quantization technique is used for encoding various multi-resolution images. Computer simulations are carried out. The experimental results indicate that the method of image encoding by the wavelet transform is very effective, and in the restored images, the degradation is almost imperceptible compared with the original image in human vision. When the coding-rate is 0.7812 bits/pel., the signal-noise-ratio is 26.04 dB in the restored image. When the coding-rate is 2.5 bits/pel., the signal-noise-ratio is 32.44 dB.<>
Keywords :
image coding; image reconstruction; vector quantisation; wavelet transforms; 26.04 dB; 32.44 dB; coding-rate; computer simulations; encoding; experimental results; human vision; image compression; image decompositions; multi-resolution images; restored image; signal-noise-ratio; vector quantization; wavelet transform; Application software; Fourier transforms; Image coding; Image resolution; Signal analysis; Signal resolution; Time frequency analysis; Vector quantization; Wavelet analysis; Wavelet transforms;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.328012
