Research of image compression algorithm based on wavelet transformation

摘要

Through the research of the existing image compression algorithms based on wavelet transformation, and from the construction of wavelet filter, by calculating the image local measures with directional characteristics, this paper selects appropriate measure predictor to separately deal with the lowest frequency sub-band coefficients, at the same time, while more efficiently scanning and positioning, quantitatively coding for the other high frequency sub-band coefficients through means of the maximum table. Experimental results show that the improved algorithm greatly reduces the coding time in the premise of no reconstructed image quality changes.