Abstract
In this paper, we propose a specular highlight image enhancement algorithm based on a dark channel prior to solve the problem of information loss in specular highlight images in real scenes. First, the algorithm is based on the dark channel prior algorithm, and a moving window minimum filter is used to estimate the global illumination component. Then, a weighted function based on the local pixel color difference is introduced to solve the halo artifacts in the image. Then, the improved guided filter algorithm is used to optimize the transmittance, which improves the computational efficiency of the algorithm. Finally, the brightness of the image is adjusted by the CLAHE algorithm to enhance the local details of the image. Experimental results show that this method can effectively enhance the information in specular highlight images, and its processing results are obviously better than those of other algorithms.
Highlights
In the field of computer vision, most algorithms assume that the surface of an object is an ideal diffuse reflection surface, without considering the effect of specular reflection
In this paper, we propose a specular highlight image enhancement algorithm based on a dark channel prior to solve the problem of information loss in specular highlight images in real scenes
The algorithm is based on the dark channel prior algorithm, and a moving window minimum filter is used to estimate the global illumination component
Summary
In the field of computer vision, most algorithms assume that the surface of an object is an ideal diffuse reflection surface, without considering the effect of specular reflection. The presence of highlights in the image will often cover the texture of the surface of the object, damage the contour of the edge of the object, change the color of the surface of the object, and directly lead to the loss of information in the local area of the object surface. The highlights in the image will affect the quality of the image and greatly interfere with the application research of image tracking, scene analysis, scene reconstruction, etc. It is important to enhance the highlight area in the image. The existing methods are mainly for the highlight removal technology of specular images
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