CAJ | 학술논문

Retinex模型是人类视觉对亮度和色彩的感知模型，多尺度Retinex算法具有动态范围压缩大、色彩恒常性、色彩保真度高等特点，被广泛运用于低光照图像的增强。提出一种新的图像增强算法，首先用混合灰度变换函数替代传统的灰度变换函数，对图像做不同尺度的Retinex变换，并分解重复的频带信息，对各个独立的频带分别进行增强。然后引入图像融合的思想，将不同尺度Retinex图像的每个像素点都赋予不同的权重。最后得到输出图像。实验结果证明，本算法可有效增强图像的对比度，得到的图像清晰度高，色彩恢复好。
Retinex모형시인류시각대량도화색채적감지모형，다척도Retinex산법구유동태범위압축대、색채항상성、색채보진도고등특점，피엄범운용우저광조도상적증강。제출일충신적도상증강산법，수선용혼합회도변환함수체대전통적회도변환함수，대도상주불동척도적Retinex변환，병분해중복적빈대신식，대각개독립적빈대분별진행증강。연후인입도상융합적사상，장불동척도Retinex도상적매개상소점도부여불동적권중。최후득도수출도상。실험결과증명，본산법가유효증강도상적대비도，득도적도상청석도고，색채회복호。
The Retinex model refers to human perception of lightness and color.The multi-scale Retinex( MSR) algo-rithm, which is high dynamic range, color constancy and high color fidelity, is widely used in low-light image enhance-ment.A novel multi-scale retinex method based on sub-band weighting fusion for image enhancement was proposed. First, hybrid intensity transfer function was used to have retinex outputs in different scales.Then the retinex outputs were decomposed into non-overlapping spectral sub-bands.Image enhancement was processed in each sub-band.Final, the resulted image was fused by weighting every point of each Retinex outputs.The experimental results show that the proposed algorithm effectively enhances the contrast of original image and achieve a visual-pleasing and color-vivid outputs.