基于模糊松弛迭代的分层图像增强算法  

Multi-level interactive image enhancement algorithm based on fuzzy relaxation iterative procedure

作　　者：刘博[1] 胡正平[1] 王成儒[1] 

机构地区：[1]燕山大学信息科学与工程学院,河北秦皇岛066004

出　　处：《光学技术》2009年第1期131-134,137,共5页Optical Technique

基　　金：河北自然科学基金资助项目(F2008000891);燕山大学博士基金资助课题资助项目(B287)

摘　　要：映射函数的研究是图像增强技术的关键,模糊松弛技术利用模糊函数建立其映射函数,通过设置该算法的模糊松弛参数可以达到对图像可控增强处理的目的。为了实现针对不同层次的图像内容实现可控式模糊增强,提出了多层次交互迭代的模糊松弛图像增强算法。通过分析各子层图像的直方图,分别设定各子层的模糊松弛参数,并建立对应的模糊松弛映射函数;分别对各子层图像进行可控迭代增强,选择合适的迭代次数作为终止条件。给出的实验结果证明了该算法能够取得较好的增强效果。The study of mapping function is the key of image enhancement algorithms, such as fuzzy relaxation technique establishes mapping function by using fuzzy function and iterative procedure, so the controlled image enhancement processing can he achieved by setting the feasible fuzzy relaxation parameters. In order to enhance different hierarchical image content at the same time and realize controllable image enhancement, multi-level interactive iterative fuzzy relaxation image enhancement algorithm is proposed. The fuzzy relaxation parameters of sub-level are chosen by analyzing the image histogram of sub-level. Fuzzy relaxation iterative function is established. Each sub-level image is enhanced with fuzzy relaxation iterative function, until when iterative processing reach suitable times and the results perform well. The experimental results demonstrate that this algorithm is feasible and valid and can receive better enhancement results in many situations.

关 键 词：图像增强 模糊松弛 分层图像 迭代增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]