论文标题
反射率引导的，对比度耗尽的直方图均衡
Reflectance-Guided, Contrast-Accumulated Histogram Equalization
论文作者
论文摘要
现有的图像增强方法无法达到预期，因为随着它们，很难同时改善全球和本地图像对比度。为了解决这个问题，我们提出了一种基于直方图均衡的方法，该方法适应了亮度增强的数据依赖性要求，并提高了细节的可见性而不会失去全局对比度。该方法将图像上下文提供的空间信息包含在密度估计中，以进行判别直方图均衡。为了最大程度地减少非均匀照明的不利影响，我们建议根据用边缘保留平滑估计的图像反射率来定义空间信息。我们的方法在确定应如何自适应调整背景亮度并揭示隐藏在黑暗中的有用图像细节方面特别有效。
Existing image enhancement methods fall short of expectations because with them it is difficult to improve global and local image contrast simultaneously. To address this problem, we propose a histogram equalization-based method that adapts to the data-dependent requirements of brightness enhancement and improves the visibility of details without losing the global contrast. This method incorporates the spatial information provided by image context in density estimation for discriminative histogram equalization. To minimize the adverse effect of non-uniform illumination, we propose defining spatial information on the basis of image reflectance estimated with edge preserving smoothing. Our method works particularly well for determining how the background brightness should be adaptively adjusted and for revealing useful image details hidden in the dark.
