智能系统学报2012，Vol.7Issue(5)：404-408,5.DOI:10.3969/j.issn.1673-4785.201204004
一种自适应的仿生图像增强方法:LDRF算法
An adaptive biomimetic image processing method: LDRF algorithm
摘要
Abstract
The research proposes to continue examining a novel adaptive biomimetic image processing method called, LDRF (logarithmic and disinhibitory properties of concentric receptive field) algorithm. Numerous research studies have examined biomimetic image processing method and human visual characteristics, which include brightness adaptability and disinhibitory properties of concentric receptive fields. Firstly, a parameterize logarithmic function was adjusted for global luminance for image adaptability. Secondly, the tri-Gaussian dynamic filtering was applied to the partial detail enhancement. Wallis operator was also introduced for establishing a gain factor model that provided adaptability for partial detail enhancement as well. Finally, the linear transform was performed for the color restoration. The contrast experimental results were based on a large image set which indicated, the LDRF algorithm is capable of adapting and enhancing the images with different sizes and contents. Additionally, the study avoided over enhancement, achieved excellent effects and increased practicality of the biomimetic image enhancement algorithm.关键词
仿生图像处理/人类视觉/图像增强/三高斯模型/参数对数模型/增益因子模型Key words
biomimetic image processing/ human visual system/ image enhancement/ tri-Guassian model/ parameterized logarithmic model/ gain factor model分类
信息技术与安全科学引用本文复制引用
谌琛,李卫军,陈亮,覃鸿,来疆亮..一种自适应的仿生图像增强方法:LDRF算法[J].智能系统学报,2012,7(5):404-408,5.基金项目
国家自然科学基金重大研究项目(90920013). （90920013）
