Mary Jane C. Samonte
ABSTRACT
With the rapid development of computer vision and image processing technology, scene image processing under particular weather conditions has become an important research direction, especially in foggy conditions of the image, which is easily affected by haze, resulting in unclear picture quality and image information loss. The defogging algorithm came into being to solve this kind of image problem. This paper analyzes the advantages and disadvantages of dark channels and histogram algorithms. Given the time and space complexity and incomplete fog removal of the dark channel and histogram algorithm, a combined improved algorithm is proposed, a fast fog removal algorithm combining dark channel and histogram enhancement. The analysis of experimental results shows that the fast-defogging algorithm combined with dark channel and histogram enhancement proposed in this paper can restore better visual effects and preserve edge details. Especially in the distant image area, image details are easier to obtain, and the time and space complexity of the algorithm is reduced.
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Index Terms
- The Major Challenge in Improving Image Dark Channel Defogging Algorithm
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