分形插值和分形圖象壓縮編碼相結合進行圖象數(shù)據(jù)壓縮
FRACTAL IMAGE COMPRESSION WITH FRACTAL INTERPOLATION AND FRACTAL IMAGE CODING
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摘要: 本文首先研究了分形圖象壓縮編碼和分形插值圖象壓縮方法。這兩種方法在壓縮比很高時圖象效果均不是很理想,為此我們提出了綜合利用分形插值和分形圖象編碼方法進行圖象數(shù)據(jù)高效壓縮的思想。實驗結果驗證了這種思想的正確性和可行性。新的方法在恢復圖象信噪比為28.5dB時,壓縮倍數(shù)可高達76倍,速度也大大提高。
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關鍵詞:
- 分形; 插值; 圖象編碼; 圖象壓縮
Abstract: In this paper, fractal image coding and fractal interpolation for image compression are studied at first. Because the reconstructed image quality using the two methods at high compression is not good, a new image compression idea combining these two methods is proposed. The coding results verified the new idea. The compression ratio is as high as 76 to 1 as PSNR being 28.5 dB and coding time is very short. -
Mandelbrot B B. The Ractal Geometry of Nature. San Francisco: Freeman, 1982, 1-80.[2]Barnsley M F, Sloan A D. A better way to compress images. Byte, 1988, 13: 215-223.[3]Jacquin A E. Fractal image coding based on a theory of iterated contractive image transforma-[4]tions. SPIE, Vo1.1360, Visual Communications and Image Processing, 1990, 227-239.[5]房育棟,余英林.快速分形圖象壓縮編碼.電子學報,1996, 24(1): 28-33.[6]楊紹國,尹忠科,羅炳偉,堯德中.分形插值在圖象處理中的應用.電子科學學刊,1997,19(4): 562-565. -
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