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High-precision image registration method for fuzzy kernel estimation of imaging system

An image registration and imaging system technology, applied in image analysis, image data processing, calculation, etc., can solve the problems of image registration accuracy to be improved, and achieve the effect of improving image processing accuracy and avoiding errors

Inactive Publication Date: 2017-09-08
四川精目科技有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: aiming at the problem that the current image registration accuracy needs to be improved, the present invention proposes a high-precision image registration method for estimation of the blur kernel in the imaging system

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  • High-precision image registration method for fuzzy kernel estimation of imaging system
  • High-precision image registration method for fuzzy kernel estimation of imaging system
  • High-precision image registration method for fuzzy kernel estimation of imaging system

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Embodiment Construction

[0032] Attached below figure 1 The present invention is described in detail.

[0033] A high-precision image registration method for estimation of the blur kernel of an imaging system provided by this embodiment includes the following steps: Step 1: Generate an original checkerboard image on a computer, such as figure 2 As shown, the checkerboard image can be directly generated by matlab software on the computer, and it is a black and white checkerboard image.

[0034] Step 2: Use an imaging device to shoot the checkerboard image on the computer to obtain a blurred image, wherein the imaging device can be an actual imaging device such as a mobile phone or a camera. In a specific embodiment, a camera is used to capture an image of the checkerboard on the computer.

[0035] Step 3: Perform corner detection on the checkerboard image pair in step 1 and step 2, and obtain the corresponding corner point coordinate matrix corresponding to the original checkerboard image and the c...

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Abstract

The invention discloses a high-precision image registration method for fuzzy kernel estimation of an imaging system. The method comprises the following steps: firstly, obtaining an original chessboard image and shot chessboard image, deriving a coordinate corresponding coordinate relational expression between the original chessboard and the shot chessboard by detecting the angular coordinates of the original chessboard and the shot chessboard; mapping according to the relational expression to obtain the image in precise registration. The chessboard image can be replaced with the required image after obtaining the corresponding relation according to actual requirement, thereby facilitating the subsequent image processing.

Description

technical field [0001] The present invention mainly relates to the field of digital image processing, in particular to a high-precision image registration for blur kernel estimation of an imaging system [0002] method. Background technique [0003] In the field of image processing such as computational photography and image restoration, it is necessary to estimate the blur kernel of the imaging system in many cases. One of the common methods is to use the imaging system to shoot and print out the checkerboard calibration board to obtain the corresponding blurred image and clear image. Then use the non-blind convolution image restoration algorithm to estimate the blur kernel (The Non-parametric Sub-pixelLocal Point Spread Function Estimation Is a Well Posed Problem Maurcio, 2012). The main problem with this method at present is that the registration accuracy between the blurred image and the clear image is not high, because the blurred image and the clear image are two ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/32
CPCG06T7/32
Inventor 不公告发明人
Owner 四川精目科技有限公司
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