An image focusing measure implementation method based on a second-order moment function

An implementation method, the second-order moment technology, applied in the field of information processing, can solve the problems of unable to reflect the image definition information, the auto-focus function is not easy to use, and is easily affected by noise, so as to achieve strong anti-noise ability, reduce interference, simple effect

Pending Publication Date: 2019-06-25
HUAIYIN TEACHERS COLLEGE
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AI Technical Summary

Problems solved by technology

If the background of the image is relatively uniform or relatively smooth, it is very susceptible to noise at this time, so that the corresponding focus measurement cannot reflect the sharpness information of the image
For example, if you use the camer

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  • An image focusing measure implementation method based on a second-order moment function
  • An image focusing measure implementation method based on a second-order moment function
  • An image focusing measure implementation method based on a second-order moment function

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Embodiment Construction

[0020] In order to facilitate technical personnel to understand the technical solution of the present invention, the technical solution of the present invention will be further described in detail in conjunction with the accompanying drawings and embodiments.

[0021] The present invention proposes a method for realizing image focus measurement based on the second-order moment function, and the block diagram of its implementation steps is as follows figure 1 As shown, in the present embodiment, if n=3 is selected, the specific steps of the method are refined as follows:

[0022] In step S1, the number of rows and columns of pixels in the original image is adjusted to an integer multiple of 8, which can be realized by cropping or interpolating the image, so that an image f(x, y) is obtained. Here, the number of rows and columns of f(x, y) are denoted by M and N, respectively. The reason for adjusting the number of image rows and columns is because the method proposed by the pr...

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Abstract

The invention discloses an image focusing measure implementation method based on a second-order moment function, and belongs to the technical field of information processing. The method comprises thefollowing steps: firstly, preprocessing an image, then partitioning the processed image, and calculating a moment function of each sub-image; And selecting a low-order moment function of each sub-image to construct definition information of the image. And finally, solving the variance of a set formed by the definition information of all the sub-images, and taking the variance value as the focusingmeasurement value of the whole image. According to the invention, on the basis of dividing the image into blocks; a moment function is adopted to construct detail information of the image, the methodis advantaged by simple principle and low computation complexity; Meanwhile, through implementation of the steps, interference of noise on image detail information is reduced to a great extent, so that the focusing measure obtained through the method has high noise robustness, and the method is suitable for a passive imaging system of a camera, especially for high noise resistance under the low-contrast imaging condition, and is suitable for popularization and application.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method for realizing an image focus measurement based on a second-order moment function. Background technique [0002] Camera equipment in daily life, such as single-lens reflex cameras, mobile phones with camera functions, and monitoring and capture systems at intersections, can all obtain clear images. However, the acquisition of a clear image depends on the automatic focusing performance of the camera device. At present, camera equipment on the market mainly adopts automatic focusing technology of passive imaging. Its core is to design a focus measure for evaluating image clarity, select the clearest image and save it through the focus measure. Therefore, a focus measure implementation method with good performance directly affects the quality of the captured image. [0003] Currently widely used image focus measurement methods are constructed ba...

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Application Information

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IPC IPC(8): G06T7/80
Inventor 郭立强刘恋李春红
Owner HUAIYIN TEACHERS COLLEGE
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