Weighted least square filtering-based single image defogging method

A weighted least squares, single image technology, applied in the field of image processing, can solve the problems of high computational complexity, prone to distortion, and dependence on prior knowledge of dehazing methods, and achieve rich details, strong contrast, and high definition. Effect

Inactive Publication Date: 2017-06-13
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

The above dehazing method has high computational complexity and relies on prior knowledge
Document 2 "He KM, Sun J, and Tang X O.Single image haze removal using dark channel prior, IEEEConference on Computer Vision and Pattern Recognition (CVPR), 2009:1956-1963." proposed based on dark channel prior knowledge ( Dark Channel Pri

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  • Weighted least square filtering-based single image defogging method
  • Weighted least square filtering-based single image defogging method
  • Weighted least square filtering-based single image defogging method

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Embodiment Construction

[0021] During specific implementation, the method can process non-real-time data, such as image file data and video screenshot data.

[0022] In an embodiment of the present invention, an image defogging method based on weighted least square filtering is provided for the above image data.

[0023] Firstly, the method of superpixel processing and quadtree segmentation is used to accurately obtain the global atmospheric light value; then, according to the dark channel prior knowledge and the idea of ​​image space transformation, the weighted least square filter is used for multiple fusion to obtain accurate atmospheric curtain parameters ; Calculate the atmospheric transfer function indirectly through the obtained atmospheric curtain parameters, and finally bring the calculated atmospheric light value and atmospheric transfer function into the model to restore the foggy image.

[0024] Concrete implementation steps of the present invention:

[0025] Step 1) establishes the atmo...

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Abstract

The invention designs a weighted least square filtering-based image defogging method, and research is carried out according to an existing single image defogging algorithm. The method comprises the specific implementation steps of firstly improving estimation of an atmospheric light value by utilizing super-pixel processing and quadtree segmentation methods; secondly according to dark channel prior knowledge and an image space conversion thought, performing multi-time fusion by utilizing weighted least square filtering, thereby obtaining accurate atmospheric curtain parameters; thirdly performing inverse conversion through the obtained atmospheric curtain parameters to obtain an atmospheric transmission function; and finally substituting the obtained atmospheric light value and the atmospheric transmission function into a model for performing restoration processing on a foggy image. According to the method, the atmospheric light value can be accurately estimated, the transmission function can be indirectly obtained, the definition, contrast and detail information of the image can be effectively improved, and especially the processing effect on a close shot is better.

Description

technical field [0001] The invention belongs to the field of image processing and relates to a method for defogging a single image. Background technique [0002] Smog is the result of the interaction between specific climate conditions and human activities, and has evolved into a very serious social problem in recent years. Under the special conditions of fog and haze, the quality of the collected images is severely degraded, and the contrast is significantly reduced. Therefore, applications based on outdoor scene images, such as remote sensing, intelligent transportation, object recognition, and monitoring facilities, are greatly disturbed. This not only affects the observer's vision, but also is not conducive to the extraction of effective information. Therefore, the clear processing of images collected under haze weather has attracted the attention of many scholars. [0003] There are two main types of existing image defogging methods: the first type is based on image e...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003
Inventor 李明明冯晓毅夏召强
Owner NORTHWESTERN POLYTECHNICAL UNIV
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