基于灰度冗余和小波变换融合的彩色人脸图像增强

摘要

According to the condition that due to the different light ,the face image has too dark or bright to see and to recognize, this article presents a color facial image enhancement algorithm which is based on gray redundancy and the fusion of wavelet transform. First, in order to enhance the image contrastit remove the gray redundancy through the linear mapping of gray level; and then with the special fusion rule, it carries on the image fusion based on the wavelet transformation. Finally, it realizes the color image enhancement, overcoms the source image iu brightness flaws, avoid the information loss and improve the definition of the image-%针对不同光照下的人脸图像存在过暗或过亮,视觉效果不好、不易识别的情况,提出了一种基于灰度冗余和小波变换融合的彩色图像增强算法.该方法通过灰度级的线性映射去除灰度冗余,增强图像的对比度,再通过基于小波变换的图像融合方法,对低频和高频采用不同的融合准则,实现了彩色图像的增强,克服了原图像在亮度和细节上的缺陷,又避免了信息损失,提高了图像的清晰度.