基于亮度保持的子图像加权对比度增强

Brightness-Preservating Based Weighted Sub-Images for Contrast Enhancement

本文提出了一种有效的基于亮度保持对比度增强算法.利用BBHE(brightness preserving b-i histogram e-qualization)算法产生的两个子图像,对两个子图像进行加权求和,从而得到输出图像.同时,根据输入图像以及两个子图像的亮度均值,给出了一种基于亮度保持的权重系数的计算方法.实验结果表明,与其它亮度保持对比度增强算法相比,本文算法能够更准确地保持输入图像的亮度均值以及较好地实现对比度增强.另外,本文算法计算简单,能够满足实时性的要求.

In this paper, an efficient contrast enhancement method based on brightness-preserving is proposed. This method defines the outputimage as the weighted sum of the two sub-images generated by BBHE.At the same time,a brightness-preserving way, based on the mean brightness of the input image and two sub-images, to calculate two weight coefficients is given. It is shown through the experimental results that the proposed method can preserve the mean brightness with higher accuracy than many other brightness-preserving methods while enhancing the contrast efficiently. In addition, the proposed method in this paper is quite simple which makes it meet the requirement of real-time.