Image Dehazing in Wide Field of View Based on Dual-tree Complex Wavelet Transform
Pages 1052 - 1056
Abstract
With the development of science and technology, surveillance equipment that captures wide-field scenes has become common. In order to solve the problem of partial loss of details and distortion of color restoration after hazy images in wide field of view scenes are dehazed, we proposed a multi-scale image dehazing algorithm based on dual-tree complex wavelet transform. First, in view of the characteristics of wide field of view scenes that contain a large amount of near and distant view information, a method based on depth of field and gradient is proposed to optimize the rough transmittance map. Then, the dual-tree complex wavelet transform is used to decompose the image into low-frequency and high-frequency images in six directions. In the high-frequency part, a linear weighted scale factor is used to enhance the details of the high-frequency image. The edges of the transmittance map obtained by this algorithm are clearly visible, and more texture details can be retained. The foggy image after dehazing is clear and the colors are more natural. The algorithm was experimented with a real wide-field foggy data set. Comparative studies and quantitative evaluations demonstrated the superiority of this method in processing wide-field images.
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Index Terms
- Image Dehazing in Wide Field of View Based on Dual-tree Complex Wavelet Transform
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Published In
June 2024
1206 pages
ISBN:9798400710247
DOI:10.1145/3690407
Copyright © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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Published: 24 October 2024
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CAIBDA 2024
CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
June 21 - 23, 2024
Zhengzhou, China
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