Non-blind convolution motion blurred image restoration method

A motion-blurred image and non-blind convolution technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of increased computing time and unfavorable real-time recovery of motion blur, achieve fast execution speed, and solve non-convex optimization Problems, simple effects

Inactive Publication Date: 2017-03-15
BEIJING HANGXING MACHINERY MFG CO LTD
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Problems solved by technology

[0011] However, there are some serious defects in the Richardson-Lucy algorithm method. The first problem is the noise amplification problem, which is also a common problem of this type of method (using the maximum likelihood solution).
The second problem is how many iterations are appropriate for different parts of the restored image
The calculation time of the Richardson-Lucy algorithm also increases significantly with the increase of the number of iterations, which is not conducive to the real-time recovery of motion blur

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  • Non-blind convolution motion blurred image restoration method

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Embodiment Construction

[0033] The method of the invention is used to deblur the images collected by a small X-ray scanning inspection system. The schematic diagram of the system structure is as figure 1 As shown, it includes the following parts:

[0034] X-ray machine: It is mainly composed of a controller and an X-ray generator, which is used to generate continuous low-energy (tens to hundreds of kV) X-rays.

[0035] Mechanical transmission device: including conveyor belt, motor and system skeleton, box.

[0036] Detection and data acquisition subsystem: use the detector array and communication module to measure the high and low energy generated by X-rays synchronously, and perform high-speed data transmission with the operation inspection subsystem.

[0037] Operation inspection subsystem: including host computer and high-resolution monitor. Execute and accept user instructions, control system operation and accept detector data, and perform multi-functional image processing functions.

[0038]...

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Abstract

The invention provides a non-blind convolution motion blurred image restoration method. The method comprises the following steps: 1) initializing a desired clear image as an acquired observation image; 2) solving the auxiliary variable w according to a formula; 3) solving the clear image x according to the following formula; and 4) updating the update weight Beta according to the influence factor BetaInc: if the update weight Beta is greater than the set maximum update weight Betamax or the number of iterations is greater than the set total number of iterations T, aborting the iteration for the clear image x; otherwise, continuing the iteration updating. Compared with the existing blurred image restoration method, the method provided by the invention suppresses the influence of noise on the restoration of image so that the blurred image obtains a remarkable recovery effect. The method of the invention is also highly automatic, simple to operate and achieves high execution speed.

Description

technical field [0001] The invention relates to signal processing technology in images, in particular to a non-blind convolution motion blurred image restoration method. Background technique [0002] When a video camera is used to capture images of a scene, if there is relative motion between the scene and the camera during the exposure of the camera, the resulting photos tend to be blurred. This kind of image blurring is called motion blur, and solving the problem of image restoration by establishing a restoration model of moving images is the main means of researching and solving motion blur. If the influence of noise is considered, the degradation model of motion blurred image can be described as a degradation function and an additive noise term n(x,y), processing an input image f(x,y) produces a degraded image g(x,y). [0003] [0004] Among them, h(x,y) is called fuzzy operator or point spread function, Represents convolution, f(x,y) represents the original clear...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/73G06T5/70
Inventor 徐圆飞张文杰何竞择
Owner BEIJING HANGXING MACHINERY MFG CO LTD
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