会议专题

Faster Compress Image Coding Based on Interpolatory Orthonormal Multiwavelets

Long coding time is the main problem in image compression based on Fractal at present, mainly due to its heavy computation of searching the best-match domain block for each range block. A fast compress image coding algorithm is proposed. At coding, the interpolation based on orthogonal multi-wavelets is used to compress the original image, and then use the basic fractal coding algorithm to compress; during decoding, the use of the basic fractal decoding algorithm to decode, and then use interpolation orthogonal multi-wavelet transform to restore the image. Experimental results show that compared to directly fractal code, this method reduces coding time, and signal to noise ratio, compression ratio, etc. have improved.

image compression image interpolation interpolatory orthonormal multiwavelets fractal coding image coding

Yanchun Wang Jinghui Li Hui Li

College of Communication and Electronic Engineering, Qiqihar University, Qiqihar Heilongjiang 161006, China

国际会议

The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

太原

英文

244-247

2010-10-22(万方平台首次上网日期,不代表论文的发表时间)