Coupling of human visual system model and wavelet transform for image compression

Author(s):  
Silvia Bertoluzza ◽  
Maria G. Albanesi
2011 ◽  
Vol 403-408 ◽  
pp. 1352-1355
Author(s):  
Yue Li Cui ◽  
Zhi Gang Chen ◽  
Ai Hua Chen

Image compression is a technology using as little as possible bits to represent the original image. As wavelet transform has local characteristics on the time and frequency domain, it makes up the deficiency of DCT. Moreover, its multi-resolution characteristics can easily associate with the human visual system (HVS). Besides, wavelet-based image compression is prone to combine with new image coding methods. It has become the research hotspots at present. This paper introduces wavelets theory and discusses the research status and progress of wavelet-based image compression then points out the main problems. Finally, the prospect in the future was presented.


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