Perceptual Contrast Enhancement with Dynamic Range Adjustment.
Perceptual Contrast Enhancement with Dynamic Range Adjustment.
复制标题
DOI：
10.1016/j.ijleo.2013.04.046
复制
发表时间：
2013-12-01
期刊：
影响因子：
3.1
通讯作者：
Sun M
中科院分区：
文献类型：
--
作者：
Zhang H;Li Y;Chen H;Yuan D;Sun M
近年来，虽然人们在直方图均衡化方面做了大量的工作，但很少有直方图均衡化方法考虑到人眼的视觉感知特性。人类视觉系统（HVS）对边缘比亮度更敏感。本文提出了直观地利用这一性质，并开发了一种通过直方图修改动态范围调整的感知对比度增强方法。感知对比度的使用将图像增强问题与HVS联系起来。为了在执行HE过程之前对输入图像进行预处理，基于改进的高斯差分（DOG）算法构造感知对比度图（PCM）。结果，图像的对比度被锐化并且高频噪声被抑制。一个修改后的剪切直方图均衡（CHE）也被开发，提高了视觉质量，通过自动检测图像的动态范围与改善的感知对比度。实验结果表明，新的HE算法在提高感知对比度和增强细节方面优于现有的几种算法。此外，新算法实现简单，适合于实时应用。
Recent years, although great efforts have been made to improve its performance, few Histogram equalization (HE) methods take human visual perception (HVP) into account explicitly. The human visual system (HVS) is more sensitive to edges than brightness. This paper proposes to take use of this nature intuitively and develops a perceptual contrast enhancement approach with dynamic range adjustment through histogram modification. The use of perceptual contrast connects the image enhancement problem with the HVS. To pre-condition the input image before the HE procedure is implemented, a perceptual contrast map (PCM) is constructed based on the modified Difference of Gaussian (DOG) algorithm. As a result, the contrast of the image is sharpened and high frequency noise is suppressed. A modified Clipped Histogram Equalization (CHE) is also developed which improves visual quality by automatically detecting the dynamic range of the image with improved perceptual contrast. Experimental results show that the new HE algorithm outperforms several state-of-the-art algorithms in improving perceptual contrast and enhancing details. In addition, the new algorithm is simple to implement, making it suitable for real-time applications.