CAJ | 학술논문

针对多尺度Retinex算法（ MSR）以及其它图像增强算法处理后的图像峰值信噪比较低的缺陷，本文提出结合Ret-inex理论，根据照射分量和反射分量的特性，对二者分别采用不同的非线性函数进行调整来提高图像的对比度和增强图像细节，并在低亮度区域进行噪声抑制的方法。实验结果表明，在HSV和RGB彩色空间，运用本算法处理在低照度情况下的图像，处理后图像的峰值性噪比以及对比度高于其他算法，并且处理速度也快于MSR算法。
침대다척도Retinex산법（ MSR）이급기타도상증강산법처리후적도상봉치신조비교저적결함，본문제출결합Ret-inex이론，근거조사분량화반사분량적특성，대이자분별채용불동적비선성함수진행조정래제고도상적대비도화증강도상세절，병재저량도구역진행조성억제적방법。실험결과표명，재HSV화RGB채색공간，운용본산법처리재저조도정황하적도상，처리후도상적봉치성조비이급대비도고우기타산법，병차처리속도야쾌우MSR산법。
According to the multi-scale Retinex algorithm ( MSR ) defect images peak at low SNR , this paper puts forward a method of noise suppression in low luminance region according to the theory of Retinex , the characteristics of illumination and re-flection components , the two respectively by different nonlinear functions to adjust , to enhance the image contrast and enhance image detail .The experimental results show that , in HSV and RGB color space , after using this algorithm in low light , uneven il-lumination image case , the peak signal to noise ratio and the image contrast are higher than that of MSR algorithm , and the pro-cessing speed is faster than MSR algorithm .