Frequency domain decomposition based single image defogging acceleration method

Abstract

The invention discloses a frequency domain decomposition based single image defogging acceleration method, which specifically comprises the steps of first, acquiring a foggy image; second, performing k-layer wavelet decomposition on the foggy image, and acquiring a low-frequency component I1 and k high-frequency components I<h><1>, I<h><2>,...,I<h><k>; third, performing defogging processing on the low-frequency component I1 by using an image defogging method so as to acquire a defogged low-frequency component; fourth, processing the k high-frequency components respectively by using a size adjustment model so as to acquire k new high-frequency components; and fifth, performing wavelet reconstruction on the acquired defogged low-frequency component and the k new high-frequency components so as to acquire a defogged image. Compared with an existing image defogging method, the method disclosed by the invention is short in calculation time, high in calculation efficiency and suitable for being applied to real-time image defogging processing.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an accelerated method for defogging a single image based on frequency domain decomposition. Background technique [0002] In the foggy environment, due to the influence of suspended particles in the atmosphere, the color of the image collected by the imaging device is degraded, the contrast is reduced, and the clarity is seriously insufficient. Therefore, it is of great practical significance to clear the degraded image in foggy weather. There are many existing image defogging methods, such as the Tarel method [1] proposed by Tarel, J.P., Hautiere, N, the Zhu method proposed by Zhu, Q., Mai, J., Shao, L [2], Ju, M. , Zhang, D., and Wang, X. proposed the Ju method [3], Meng, G., Wang, Y., Duan, J., Xiang, S., and Pan, C proposed the Meng method [4] , Gu, Z.F.; Ju, M.Y.; and the Gu method proposed by Zhang, D.Y. [5], etc. However, the existing image d...

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Problems solved by technology

There are many existing image defogging methods, such as the Tarel method [1] proposed by Tarel, J.P., Hautiere, N, the Zhu method proposed by Zhu, Q., Mai, J., Shao, L [2], Ju, M. , Zhang, D., and Wang, X. proposed the Ju method [3], Meng, G., Wang, Y., Duan, J., Xiang, S., and Pan, C proposed the Meng method [4] , Gu, Z.F.; Ju, M.Y.; and the Gu method proposed by Zhang, D.Y. [5], etc. However, the existing image defogging methods have a large amount of data processing, low computational efficiency, and poor real-time performance

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