Image Compression Algorithms Based on Dual Tree-Complex Wavelet Transform

Abstract

Aiming to improve the efficiency of image compression on the premise of controlling the compression time, an image compression oriented algorithm is proposed based on Dual Tree-Complex Wavelet and arithmetic coding algorithm. Methods : decompose the read-in image by Dt-cwt, then using Wellner (an adaptive binarization method) to calculate the image s threshold. Scan the image by EZW algorithm, and compared the threshold with wavelet coefficients, then output the important coefficients and compress these data by arithmetic coding. Finally, the compressed image was output by encoding inverse transform. Results :Four-level decomposition of Dual Tree-Complex Wavelet and seven-times scanning of the image have better compression result and shorter running time. Conclusion :The hardware configuration of this method is simple, and this algorithm can compress the image with high quality in a short time.