Frequency domain decomposition based single image defogging acceleration method

A single image, frequency domain decomposition technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of large data processing volume, poor real-time performance, low computing efficiency, etc., to achieve high computing efficiency and short computing time. Effect

Active Publication Date: 2017-10-20
NANJING COLLEGE OF INFORMATION TECH
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  • Application Information

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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., Xia

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  • Frequency domain decomposition based single image defogging acceleration method
  • Frequency domain decomposition based single image defogging acceleration method
  • Frequency domain decomposition based single image defogging acceleration method

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specific Embodiment 1

[0043] Obtaining a foggy image such as figure 2 As shown, the resolution of the image is 845×496; considering the computational complexity, the simplest Haar wavelet transformation method in wavelet transformation is preferred, and the foggy image is decomposed by three layers of wavelets to obtain one low-frequency component and three High-frequency components; use the Tarel method to defog the low-frequency components; use the size adjustment model to adjust the three high-frequency components; finally, perform wavelet reconstruction on the obtained defogged low-frequency components and three new high-frequency components to obtain For the image after dehazing, record the calculation time for obtaining the image after dehazing. The rest remain unchanged. In the second step, 6-layer, 9-layer, 12-layer and 15-layer wavelet decomposition is performed on the foggy image respectively. In the third step, the Zhu method, Ju method, Meng method and Gu method are used to remove the ...

specific Embodiment 2

[0044] Obtaining a foggy image such as Figure 4 As shown, the resolution of the image is 768×497. Three layers of wavelet decomposition is performed on the foggy image to obtain one low-frequency component and three high-frequency components. The Tarel method is used to dehaze the low-frequency component, and the three high-frequency components are dehazed. The frequency components are adjusted, and finally the obtained defogged low-frequency components and three new high-frequency components are wavelet reconstructed to obtain the defogged image, and the calculation time for obtaining the defogged image is recorded. The rest remain unchanged. In the second step, 6-layer, 9-layer, 12-layer and 15-layer wavelet decomposition is performed on the foggy image respectively. In the third step, the Zhu method, Ju method, Meng method and Gu method are used to remove the low frequency components. Fog processing, record the corresponding calculation time to obtain the image after defog...

specific Embodiment 3

[0045] Obtaining a foggy image such as Image 6 As shown, the resolution of the image is 400×600, and the foggy image is decomposed by 3-layer wavelet to obtain 1 low-frequency component and 3 high-frequency components, and the Tarel method is used to dehaze the low-frequency component, and the 3 high-frequency components are dehazed. The frequency components are adjusted, and finally the obtained defogged low-frequency components and three new high-frequency components are wavelet reconstructed to obtain the defogged image, and the calculation time for obtaining the defogged image is recorded. The rest remain unchanged. In the second step, 6-layer, 9-layer, 12-layer and 15-layer wavelet decomposition is performed on the foggy image respectively. In the third step, the Zhu method, Ju method, Meng method and Gu method are used to remove the low frequency components. Fog processing, record the corresponding calculation time to obtain the image after defogging, the result is as f...

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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...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10004G06T2207/20064
Inventor 顾振飞张登银鞠铭烨袁小燕单祝鹏李秋
Owner NANJING COLLEGE OF INFORMATION TECH
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