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Image processing method, apparatus and equipment

An image processing and image block technology, which is applied in the field of image processing, can solve problems such as blurred image focus, achieve accurate calculation, and realize the effect of automatic focus

Active Publication Date: 2017-03-01
RICOH KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In the above analysis method, it is aimed at the blurring degree of the two-dimensional code image, and the image blurring caused by the focal length setting, that is, the focal length blurring of the image is not mentioned

Method used

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  • Image processing method, apparatus and equipment
  • Image processing method, apparatus and equipment
  • Image processing method, apparatus and equipment

Examples

Experimental program
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no. 1 example

[0039] Such as figure 1 As shown, an image processing method, comprising:

[0040] Step 11, obtaining an input image;

[0041] Step 12, dividing the input image into a plurality of image blocks;

[0042] Step 13, obtaining the number of blurred image blocks from the plurality of image blocks;

[0043] Step 14, judging whether the input image is a blurred image according to the number of blurred image blocks.

[0044] In this embodiment, an input image can be obtained from an image acquisition device, such as a camera, a video camera, etc., and a device with a camera module or a camera module; after the input image is obtained, one or more preset The area value of the image block, which divides the input image into multiple image blocks. Wherein, when the input image is divided according to the area value of a preset image block, the input image can be evenly divided into multiple image blocks; if the input image is divided into multiple image blocks according to the area v...

no. 2 example

[0047] Such as figure 2 As shown, an image processing method, comprising:

[0048] Step 21, obtaining an input image;

[0049] Step 22, dividing the input image into a plurality of image blocks;

[0050] Step 23, obtaining the number of blurred image blocks from the plurality of image blocks;

[0051] Step 24, judging whether the input image is a blurred image according to the number of blurred image blocks;

[0052] Step 25, acquiring the blur degree value of the blur image.

[0053] The difference between this second embodiment and the above-mentioned first embodiment is that after judging that the input image is a blurred image, the blur degree value of the blurred image can be further obtained, and when applied to a camera or a projector, it can effectively distinguish The blur caused by the projector and the blur of the projected image itself allow for autofocus.

no. 3 example

[0055] Such as image 3 As shown, image processing methods include:

[0056] Step 31, obtaining an input image;

[0057] Step 32, dividing the input image into a plurality of image blocks;

[0058] Step 33, obtaining the eigenvalue and eigenvector of each image block in the plurality of image blocks;

[0059] Step 34, judging whether the image block is a blurred image block according to the eigenvalue and eigenvector of the image block;

[0060] Step 35, acquiring the number of image blocks judged to be blurred;

[0061] Step 36, judging whether the input image is a blurred image according to the number of blurred image blocks.

[0062]In this embodiment, by calculating the eigenvalue and eigenvector of each image block, it is judged whether the image block is a blurred image block, and all image blocks judged to be blurred in the entire input image are obtained, and according to the number of blurred image blocks , to determine whether the input image is a blurred image....

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Abstract

The invention provides an image processing method, apparatus and equipment, and relates to the field of image processing. The method includes the steps of obtaining an input image, dividing the input image into a plurality of image blocks, obtaining the number of fuzzy image blocks from the image blocks, and determining whether the input image is a fuzzy image according to the number of fuzzy image blocks. Whether an input image is a fuzzy image can be determined accurately, the fuzzy degree of the input image can be further calculated, and automatic focusing function of a camera or a projector can be realized.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method, device and equipment. Background technique [0002] The relative motion of the camera and the shooting scene, and the focal length setting of the camera are the two main types of image blurring. Typically, in an out-of-focus image, some areas are sharp and others are blurry. Therefore, the method of analyzing the image as a whole cannot accurately detect whether the image is out of focus. In addition, most of the existing methods only calculate the blur degree of the image through the edge information, which may not give accurate results for images with less edge information. [0003] In US Pat. No. 8,639,039B2, a method for evaluating the degree of image blur is introduced, which is mainly used for evaluating the quality of two-dimensional code images. Specifically, firstly, on an image of a prescribed pattern, results of different...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11
Inventor 赵颖王刚刘丽艳
Owner RICOH KK
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