分形插值和分形图象压缩编码相结合进行图象数据压缩
FRACTAL IMAGE COMPRESSION WITH FRACTAL INTERPOLATION AND FRACTAL IMAGE CODING
-
摘要: 本文首先研究了分形图象压缩编码和分形插值图象压缩方法。这两种方法在压缩比很高时图象效果均不是很理想,为此我们提出了综合利用分形插值和分形图象编码方法进行图象数据高效压缩的思想。实验结果验证了这种思想的正确性和可行性。新的方法在恢复图象信噪比为28.5dB时,压缩倍数可高达76倍,速度也大大提高。
-
关键词:
- 分形; 插值; 图象编码; 图象压缩
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]房育栋,余英林.快速分形图象压缩编码.电子学报,1996, 24(1): 28-33.[6]杨绍国,尹忠科,罗炳伟,尧德中.分形插值在图象处理中的应用.电子科学学刊,1997,19(4): 562-565. -
计量
- 文章访问数: 1991
- HTML全文浏览量: 96
- PDF下载量: 384
- 被引次数: 0
下载:
