CAJ | 학술논문

为了降低光照对人脸识别效果的影响，通过多层次自商图像的方法获得反射系数。将原图作为输入图像采用反锐化掩模滤波的方式进行增强，再通过自商图像方法获得反射系数和光照成分；把光照成分作为输入图像，重复以上操作，对每次得到的反射系数按比例融合得到最终的反射系数。YaleB人脸库上的实验结果表明，该方法能在一定程度上去除光照的影响，使人脸识别率有一定的提高。
위료강저광조대인검식별효과적영향，통과다층차자상도상적방법획득반사계수。장원도작위수입도상채용반예화엄모려파적방식진행증강，재통과자상도상방법획득반사계수화광조성분；파광조성분작위수입도상，중복이상조작，대매차득도적반사계수안비례융합득도최종적반사계수。YaleB인검고상적실험결과표명，해방법능재일정정도상거제광조적영향，사인검식별솔유일정적제고。
In order to reduce the light on the face recognition effect, a method of obtaining reflection coefficient through the multi-level self-quotient image is proposed. Firstly, source image as input image is enhanced through the method of non-linearity unsharp masking. It can get reflection coefficient and light component through self-quotient image method. Then, the paper takes the light component as a new input image and repeats the above operations. Finally, it can obtain the final reflection coeffi-cient after all reflection coefficients got in each level is fusion. The results on YaleB face database show that the method can re-move the influence of light, make the face recognition rate has improved to a certain extent.