基于自适应方法的HDR图像动态范围调整

Shresth Gupta, Anurag Singh, Abhishek Sharma
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引用次数: 0

摘要

可变测量值的最大值和最小值之比称为动态范围。这个范围与摄影和电影有关,是图像的最白(最亮)和最暗(最暗)值之间的比例。这里的主要目标是增强场景的细节可见性。在本研究中,我们提出了一种三步自适应的图像动态范围修改方法,该方法在可见性和易用性方面都是高效有效的。首先,根据亮度图的直方图分别自适应选择两个Gamma函数;其次,为了平衡不同地方的细节放大,提出了一种自适应融合技术,将两个修改后的亮度图融合在一起;最后,提出了一种恢复融合后图像颜色的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Range Adjustment of HDR Images Using Adaptive Method
The ratio of a variable measurement's maximum and minimum values is known as its dynamic range. This range, as it relates to photography and cinematography, is the proportion between an image's whitest (brightest) and darkest (darkest) values. The main goal here is to enhance the detailed visibility of scenes. In this research, we present a three-adaptive step approach for image dynamic range modification that is both efficient and effective in terms of visibility and ease in use. First, two Gamma functions are adaptively selected on the basis of the histogram of the brightness map independently. Second, to balance the amplification of details in different places, an adaptive fusion technique is presented to integrate the two modified luminance maps. Finally, we propose a method to restore the color to the fused image.
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