Blurred image blind restoration method based on non-local window gradient

A fuzzy image, non-local technology, applied in the field of image processing, can solve problems such as limited effects, inability to promote specific scenes well, failure of intermediate latent image estimation methods, etc.

Pending Publication Date: 2021-02-12
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

These images perform well on general natural images, but do not generalize well to specific scenes
Although dark channel priors can also be applied to these specific scenarios, intermediate latent image estimation methods based on dark channel priors a...

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  • Blurred image blind restoration method based on non-local window gradient
  • Blurred image blind restoration method based on non-local window gradient
  • Blurred image blind restoration method based on non-local window gradient

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Embodiment Construction

[0070] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0071] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should not be c...

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Abstract

The invention relates to a blurred image blind restoration method based on a non-local window gradient and belongs to the field of image processing. The method comprises the following steps that NLWGof a blurred image is smaller than the NLWG of a clear image, and the NLWG is suitable for all image blocks in the image; whether the image is a clear image or a blurred image, the pixel values of allthe pixel points can be normalized to be between [0, 1], and non-local window gradient prior is defined; a blurred image blind restoration model is defined based on non-local window gradient prior; optimal solution is carried out on the proposed model; and a final clear restored image is acquired by adopting a non-blind restoration method. A more accurate blurring kernel can be estimated, so thata higher-quality clear image can be restored.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a method for blind restoration of fuzzy images based on non-local window gradients. Background technique [0002] The success of existing blurred image blind restoration methods is mainly attributed to the proposal of various image priors, or edge prediction strategies. However, methods based on edge prediction, bilateral filtering, two-stage kernel estimation, block prior, color line prior, hyper-Laplacian prior, usually employ heuristic edge selection when strong edges do not exist in the blurred image , the image quality restored by these methods will have a significant decline. To avoid such heuristic edge selection, many algorithms based on natural image priors have been proposed, including normalized sparse priors, gradient priors, dark channel priors, and extremum channel priors, etc. These images perform well on general natural images, but cannot generalize well to specifi...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/001G06T5/003G06T5/10G06T2207/10004G06T2207/20056
Inventor 唐述顾佳
Owner CHONGQING UNIV OF POSTS & TELECOMM
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