一种基于人眼视觉及对数域的HDR图像动态范围压缩方法

A HDR Image Dynamic Range Compression Method Based on Human Vision and Logarithmic Domain

当前人们对图像质量的要求越来越高,高动态范围(HDR)图像广泛应用于影视、医疗等领域,已经成为图像处理领域中的重要研究方向。针对现有的动态范围压缩方法造成图像偏暗区域和偏亮区域发生信息丢失的问题,对传统的对数域动态范围压缩方法进行改进,并根据人眼对亮度的适应特性实现对图像整体动态范围压缩的同时,保留了更多的偏暗区域和偏亮区域信息。

People have higher and higher requirements for image quality at present. High dynamic range(HDR) images are widely used in film,television,medical and other fields,and have become an important research direction in the field of image processing.Aiming at the problem of information loss in the dark and bright areas of the image caused by the existing dynamic range compression method,this paper improves the traditional logarithmic domain dynamic range compression method,and realizes the overall image adjustment according to the adaptability of the human eye to the brightness.While the dynamic range is compressed,more information about the darker and brighter areas is preserved.