基于非锐化掩模的实时自适应图像增强算法

The Research of an Adaptive Algorithm for Real-time Image Enhancement

针对传统的非锐化掩模算法的局限性,依据图像中各像素点及以其为中心的若干相邻像素点的均方差值,提出了自适应图像增强算法的原理,并分析其硬件实现方法,然后给出了该算法与其它算法应用于图像增强的对比结果,最后在FPGA(fieldprogrammablegatearray)实验板上进行验证。实验结果表明,此算法有效的增强图像的细节区域,防止图像边缘区域出现过冲现象,抑制图像平坦区域的噪声放大。因此,该算法取得了良好的视觉效果,硬件实现简单,适合于实时条件下图像的增强。

According to the mean-square deviation corresponding to every pixel and the pixels around the pixel in the image, we propose the adaptive algorithm for real-time image enhancement aiming at the limitation of the conventional Unsharp Masking and analyse the way for realizing the algorithm by hardware. Then contradistinctive experimental results are given of the algorithm and other algorithms for image enhancement. At last we verity the proposed algorithm by FPGA （field programmable gate array）. The results show that we can enhance detail regions of image to the greatest extent, avoid excessive overshoot in edge regions, and minimize the degree of enhancement in uniform regions. A pleasant result is achieved by using the proposed algorithm, Furthermore, it can be realized simply by hardware. Accordingly, we can enhance image effectively to satisfy real-time demand.