HYBRID ENCODING ANALYSIS OF FRACTAL IMAGE COMPRESSION METHOD BASED ON WAVELET TRANSFORM
Firstly, the principle and characteristics of fractal image encoding is introduced, and a kind of hybrid image compression method is developed for the improvement of image compression quality, which is the combination of fractal image encoding and wavelet decomposition. In the process of encoding, the image is dealt by three level wavelet decomposition, and the high frequency section of the decomposed image adopts scatheless predicting encoding, while the low frequency section adopts fractal compression encoding. In the process of decoding, the high frequency section carries out scatheless predicting decoding, while the low frequency section is decoded to IFS (iterative function system) code which is used for subimage reconstruction. The experimental result shows that the application of the designed hybrid image compression method can increase the signal-to-noise ratio of an image while the high compression ratio of the image is guaranteed.
Fractal Image Encoding IFS (Iterative Function System) Wavelet Decomposition Hybrid Encoding
XIAO-YAN XU PHILIP CHEN JUAN DAI
Electrical Engineering Department, Shanghai Maritime University, Shanghai 200135, China Electrical and Computer Engineering Department, University of Texas at San Antonio, TX 78249, U.S. Faculty of Mechanical and Electrical Eng., Kunming University of Science and Technology, Kunming 650
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
2886-2889
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）