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Digital blurred image blind restoration method based on gradient screening

A technology of blurred image and blind restoration, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor image restoration effect and inaccurate blur kernel estimation.

Active Publication Date: 2015-01-14
HARBIN INST OF TECH
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Problems solved by technology

[0009] The purpose of the present invention is to propose a method for blind restoration of digital blurred images based on gradient screening to solve the inaccurate estimation of blur kernels for complex motions in existing methods and the need for prior motion forms, and at the same time solve the problem of normalization The sparse regularization blind restoration method has poor restoration effect on images with more details

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  • Digital blurred image blind restoration method based on gradient screening
  • Digital blurred image blind restoration method based on gradient screening
  • Digital blurred image blind restoration method based on gradient screening

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specific Embodiment approach 1

[0043] Specific embodiment one: a kind of method for blind restoration of digital fuzzy image based on gradient screening described in this embodiment includes the following steps:

[0044] Step 1: Input image F(i,j), if the image is a color image, convert it to RGB space, and extract its three image components I l (i, j), where l=R, G, B, the subsequent steps are to perform blur restoration processing on the three image components respectively, and after the individual image components are processed, the three image components are synthesized into the final restored image, gray The high-degree image processing is the same as the single image component processing method;

[0045] Step 2: For the image component I l (i, j), l=R, G, B perform bilateral filtering to suppress image noise while retaining the edge information of the image. The specific form of the bilateral filter is as follows:

[0046] W ij = exp ...

specific Embodiment approach 2

[0067] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: the steps described in step two The value is 3, The value of is 0.1. Other steps are the same as in the first embodiment.

specific Embodiment approach 3

[0068] Specific implementation mode three: the difference between this implementation mode and specific implementation mode one or two is: the steps described in step three In the image representing the t-th iteration, the value of t is 15. Other steps are the same as those in Embodiment 1 or 2.

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Abstract

The invention provides a digital blurred image blind restoration method based on gradient screening, and belongs to the technical field of image and video processing. The problems that the estimation of blurring kernels of compound movement is not accurate in an existing method, and a priori movement mode is needed are solved, and meanwhile the problem that the restoration effect on images with more details is poor by a normalization sparse regularization blind restoration method is solved. According to the technical scheme, an input image is subjected to bilateral filtering and impact filtering, gradient screening is conducted to get rid of small-gradient amplitude detail information, normalization sparse regularization blind restoration is conducted, and at last a clear image is output. The digital blurred image blind restoration method based on gradient screening can be applied to the fields of civilian photographing and camera shooting, intelligent video monitoring, intelligent security and protection, optical imaging and remote sensing, military imaging reconnaissance, guided missile imaging and guidance and the like.

Description

technical field [0001] The invention relates to a blurred image blind restoration method, in particular to a screening-based digital blurred image blind restoration method, which belongs to the technical field of image and video processing. Background technique [0002] When imaging with an optical system such as a digital camera, the relative movement between the lens and the imaging scene or the defocusing of the lens will cause the captured image or video to be blurred, resulting in weakened image edge information, which seriously affects the image quality and is difficult to detect accurately. region of interest in the image. Generally, image quality can be improved to a certain extent through image restoration, and a part of edge information can be restored. According to whether the blur kernel is known or not, image restoration can be divided into blind restoration with unknown blur kernel and non-blind restoration with known blur kernel. In practical applications, bl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 遆晓光尹磊曲悠扬
Owner HARBIN INST OF TECH
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