巢湖学院学报Issue(3)：78-83,6.
基于固定码本的分形图像编码算法
ON THE ALGORITHM OF FRACTAL IMAGE CODING BASED ON FIXED CODEBOOK
摘要
Abstract
The traditional fractal image coding is based on the self-similarity across different scales of the image inside, solves the compression affine transformation and completes the image coding. The codebook from the image itself is not necessarily the best, and the encoding time is usually longer. According to the existence of similarities between the images, we construct an adaptable codebook in which the best matching block can only be searched for by the range block of any image fractal coding, and isometric transformation is omitted. In addition, there is no need to iterate the decoded image. Experimental results show that in the case of a slight decrease in image quality, the algorithm has better performance than basic fractal image coding and improves the encoding and decoding speed, and the algorithm is simple and easy to implement. If the fixed codebook improves through a better adaptation, it will enhance the quality of the decoded image.关键词
分形/固定码本/快速分形编码/相似性/最佳匹配/非迭代Key words
fractal/fixed codebook/fast fractal coding/similarities/best matching/non-iterative分类
信息技术与安全科学引用本文复制引用
袁宗文,鲁业频,杨汉生..基于固定码本的分形图像编码算法[J].巢湖学院学报,2015,(3):78-83,6.基金项目
安徽省高等学校自然科学研究项目基金支持(项目编号KJ2011B103) （项目编号KJ2011B103）
