期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：7
页码：199-212
DOI：10.14257/ijsip.2015.8.7.19
出版社：SERSC
摘要：This paper proposes a novel image compression algorithm using curvelet transform. The proposed research decomposed the original image into curvelet coefficients by using fast discrete curvelet transform, after that the different scales of quantized curvelet coefficients were selected for lossy compression by the help of cutoff threshold. The proposed method was compared with image compression method based on wavelet transform. Experimental results show that the compression performance of our method gains much improvement based on PSNR, MSE and memory size. Moreover, the algorithm works fairly well for declining block effect at higher compression ratios
关键词：Curvelet Transform; Wavelet Transform; Peak Signal to Noise Ratio and ; Mean Square Errors
