关键词: 视觉感知特性, 井下图像, 对比度增强, 非线性映射模型

Abstract: In order to solve the traditional contrast enhancement method in the downhole image processing can not take into account the compressed dynamic range, adjust the brightness and enhance the image contrast and other issues, this paper proposes a contrast enhancement algorithm for downhole images based on human visual perceptual characteristics. Firstly, the image is divided according to the characteristic of human eye luminance masking, then, based on the non-linear luminance mapping model, different scales of different regions of the image are adjusted nonlinearly. Finally, adjust the brightness of the different regions after the combination of the new image. The experimental results show that this method can effectively enhance the contrast of low-light images and improve the visual effect of the image.

Key words: visual perception characteristics, downhole image, contrast enhancement, nonlinear mapping model