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Image Compression Using Wavelet Based Scalable Modeling of Residual Image

This thesis is based on the modified JPEG encoding which uses a preprocessing called as Cubic Convolution Spline Interpolation to subsample the original image into lower resolution image, the subsampled image is encoded by JPEG. The modified JPEG can get very high compression ratio, it¡¦s quality is better than the JPEG file which has the same compressing ratio, but it still is not good enough. In this thesis we use the scalable wavelet encoding to encode the residual image, which is the difference between original and compression image. Due to the high compressing ratio and scalablity. We can attach the compressed residual image with modified JPEG compressed image to get the scalable compressed image whose compressing ratio can tun from 125 to 50 and always get better quality than optimal JPEG.
Date14 July 2000
CreatorsLin, Wan-Shan
ContributorsLih-Shyang Chen, Chi-Suy Laih, Shang-Rong Tsai, Kuang-Chih Huang, Wen-Shyong Hsieh
Source SetsNSYSU Electronic Thesis and Dissertation Archive
Detected LanguageEnglish
Rightsrestricted, Copyright information available at source archive

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