CAJ | 학술논문

在HSI颜色空间提出了一种基于视觉特性和最大模糊熵的多尺度彩色图像增强算法.对亮度分量I进行小波多尺度分解,对于不同分解尺度的高频小波子带,采用不同的非线性函数进行处理,以实现图像细节的增强,同时最大限度地抑制噪声.对包含亮度信息的低频小波子带,首先进行基于最大模糊熵的模糊化处理,其中模糊化隶属度函数采用遗传算法进行优化;然后,对经过模糊化的低频小波子带,采用基于人眼视觉特性的线性矫正函数(LRF)进行处理,以实现对图像亮度更好的动态调节.对饱和度分量S,采用指数拉伸方法进行增强处理,色调H保持不变.实验证明,增强后的彩色图像更加清晰,色彩更加鲜艳而不失真.
재HSI안색공간제출료일충기우시각특성화최대모호적적다척도채색도상증강산법.대량도분량I진행소파다척도분해,대우불동분해척도적고빈소파자대,채용불동적비선성함수진행처리,이실현도상세절적증강,동시최대한도지억제조성.대포함량도신식적저빈소파자대,수선진행기우최대모호적적모호화처리,기중모호화대속도함수채용유전산법진행우화;연후,대경과모호화적저빈소파자대,채용기우인안시각특성적선성교정함수(LRF)진행처리,이실현대도상량도경호적동태조절.대포화도분량S,채용지수랍신방법진행증강처리,색조H보지불변.실험증명,증강후적채색도상경가청석,색채경가선염이불실진.
An algorithm based on human visual system and maximal fuzzy entropy is presented in the HSI color space.The lumi-nance component I is multi-scale wavelet decomposed first.To enhance image detail and suppress noise,different no-linear func-tion is used to process different high frequency wavelet sub-bands.First,based on maximal fuzzy entropy,the low frequency wavelet sub-band is transformed into fuzzy domain by fuzzy function that is optimized by genetic algorithm.Then,the fuzzy low frequency wavelet sub-band is processed by Linear Rectification Function(LRF) to adjust image brightness better.The saturation component S is processed by exponential method,and the hue component H is invariant.Experiment results confirm that improved color image enhancement is achieved.