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A deblurring method for natural scene images fused with parameter-free image quality assessment

A technology for natural scene image and quality evaluation, applied in the field of image processing, it can solve the problems of poor method adaptability and difficulty in finding clear samples, so as to achieve the effect of improving quality, overcoming poor method adaptability and reducing computing scale.

Active Publication Date: 2020-06-02
JIANGXI UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a natural scene image deblurring method that integrates non-parametric image quality evaluation, overcomes the shortcomings of difficulty in finding clear samples and poor adaptability of the method to a certain extent, and improves the quality of existing image deblurring

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  • A deblurring method for natural scene images fused with parameter-free image quality assessment
  • A deblurring method for natural scene images fused with parameter-free image quality assessment
  • A deblurring method for natural scene images fused with parameter-free image quality assessment

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Embodiment Construction

[0036] The present invention is mainly aimed at the motion blur generated in the video and image of the dynamic monitoring. For example, the vehicle-mounted camera is installed on a fixed platform, and the blur is mainly generated by the relative motion of the camera motion and the scene.

[0037] The present invention improves the existing deblurring process, introduces non-parametric image quality evaluation, and increases the image quality evaluation and optimization process after deconvolution, so that the optimal image quality can be recovered from a single blurred image without a clear reference image.

[0038] The present invention will be described in detail below in conjunction with examples.

[0039] 1. Variable mapping modeling based on spatial transformation;

[0040] 1.1 Analyze the cause of image blur, and construct a mathematical abstract model of the forward motion blur process according to the characteristics of the forward motion blur:

[0041]

[0042] A...

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Abstract

The present invention relates to image processing technology, and in particular to a natural scene image deblurring method that integrates parameter-free image quality evaluation. The present invention establishes a mathematical model of the image blur process based on analyzing the causes of image blur. Linearize the model based on neighborhood gradients. In view of the non-definite solution characteristics of the inverse operation of the model, an independent variable mapping based on linear expansion is constructed to reduce the calculation scale of problem solving. The image deblurring effect introduces non-reference image quality evaluation, evaluates the obtained image, establishes a recursive algorithm based on the relationship between independent variables and evaluation quality indicators, and finally achieves image deblurring. The present invention can overcome the shortcomings of difficulty in finding clear samples and poor method adaptability to a certain extent, and improve the quality of existing image deblurring.

Description

technical field [0001] The present invention relates to image processing technology, in particular to an image deblurring method that combines no-reference image quality evaluation. Background technique [0002] In the process of acquiring digital images, the image quality is degraded (degraded) due to the influence of various complex factors. These degradations include image blurring, distortion, distortion caused by optical systems, atmospheric turbulence effects, motion, etc., as well as circuit and optical factors. noise. [0003] Because the natural clear image has certain statistical characteristics, and image blurring will change this characteristic. Fergus et al [Fergus, Rob, et al. Removing camera shake from a single photograph. ACMTransactions on Graphics (TOG) [J], 25(3), 2006.] found through a large number of experiments that the gradient of natural images obeys the heavy-tailed distribution , and use a Gaussian model to approximate the heavy-tailed distributio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00
CPCG06T7/0002G06T2207/30168G06T2207/10016G06T5/73
Inventor 黄绿娥鄢化彪肖茜朱根松吴凌燕刘辉
Owner JIANGXI UNIV OF SCI & TECH
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