关键词: 雾气检测, 逆解法, 改进图层法, 对比度拉伸变换法, 去雾

Abstract: In foggy environment, the pictures taking from cameras have a poor visibility for human or device to identify the details. This paper introduces a novel approach to detect the haze and restore the image. The presented algorithm allows for a fast identification of hazy regions of a single image without expensive optimization or refinement procedures. By applying a semi-inverse operation to the original image, a semi-inverse image is produced. Comparing the pixels hue disparity between the original and its semi-inverse, the hazy regions are identified by setting a threshold value. Based on the optical model and the improved layer-based approach, the airlight constant can be estimated and several transmission images can be produced and then part of the layers are combined into one defogged image. The contrast stretching transformation approach is applied to the original defogged image to enhance its contrast.

Key words: haze detection, semi-inverse approach, improved layer-based approach, contrast stretching transformation approach, haze removing