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基于非线性模型的混合分形图像编码方法 被引量:1

Hybrid Fractal Image Coding Method Based on Nonlinear Model
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摘要 提出一个非线性模型 ,将典型分形块编码的 8种对称变换推广到 6 4种 ,并通过定义特征值的方法对域块选择以及几何变换方式选择进行加速。基于区块邻域匹配的快速匹配策略 ,对匹配效果不佳的区块进行块截取编码 ,对平滑块采用均值和三级四叉树编码 ,使得综合压缩性能良好 。 A nonlinear model is presented to generalize 8 kinds of symmetric transformations of classical fractal coding. The selection process of domain block and transformation way is speeded up by means of defining eigenvalues to 64 kinds. By adopting a rapid matching strategy based on matching in neighborhood of range block, non-matching blocks are coded by truncation coding, and smooth blocks are coded by average coding. Three-level quadtree coding scheme is used. The compression performance of this method is good, especially in coding time.
出处 《控制与决策》 EI CSCD 北大核心 2001年第B11期692-696,共5页 Control and Decision
基金 辽宁省自然科学基金项目 (972 194)
关键词 非线性模型 分形块编码 块截取编码 领域 图像编码 nonlinear model fractal block coding block truncation coding neighborhood
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