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Variation model-based single image defogging method

A single image, variational model technology, applied in the field of image processing, can solve the problems of wrong edge information in restored images and inability to maintain the homogeneity of transmittance, and achieve the effect of suppressing influence, preventing distortion and maintaining homogeneity.

Inactive Publication Date: 2017-03-15
SHANDONG JIAOTONG UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to provide a single image defogging method based on a variational model to overcome the problems that the existing methods cannot maintain the homogeneity of the transmittance and restore image edge information errors. Homogeneity and overcoming the problem of edge information error in restored image

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0053] Basic train of thought of the present invention is: according to foggy day imaging model and the train of thought of solving the inverse problem, based on variational theory, an energy function applicable to foggy day image restoration is proposed; Composition; the energy function is minimized by using the stepwise gradient descent method; when the energy function reaches the minimum value, the extracted transmittance image and the restored image are the final results.

[0054] The above is the core idea of ​​the present invention, and the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all o...

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Abstract

The invention discloses a variation model-based single image defogging method, which comprises the following steps of 1, acquiring an image in the foggy weather, namely a to-be-restored image I; 2, acquiring an initial transmittance image t0(x) based on the dark-channel prior theory; 3, according to an image restoration model in the foggy weather, acquiring an initial restored image J0(x) in the condition of a known transmittance; 4, according to the acquired initial transmittance image t0(x), calculating an initial inverse-edge image M0; 5, based on the inverse problem solving idea and a variation model, constructing an energy function F(t, J) for the single image restoration; 6, based on the step-by-step gradient descent flow method, minimizing the energy function F(t, J); 7, at the ending of the iteration process, extracting an image Jn(x) as a restored image, and an image tn(x) as a transmittance image. Based on the above method, the homogeneity of the transmittance can be maintained. Meanwhile, the defect that the image edge information goes wrong can be overcome.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a method for defogging a single image based on a variational model. Background technique [0002] Due to the scattering effect of tiny particles in the foggy atmosphere, outdoor images acquired in foggy weather often have poor contrast and clarity. This has serious implications for various applications in outdoor monitoring systems and video analysis-based autonomous driving assistance systems. Therefore, how to design an effective image defogging method to obtain clear and high-quality images has become an urgent problem in the field of image processing and computer vision. [0003] Since the method based on single image dehazing requires less prior knowledge, it has become a hotspot of current research. The methods based on single image dehazing are mainly divided into two categories: one is the method based on image enhancement, that is, the purpose of dehazing is achieved b...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T2207/10004G06T2207/10024G06T5/70
Inventor 刘建磊
Owner SHANDONG JIAOTONG UNIV
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