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Image definition detecting method and device

A technology of image clarity and detection device, applied in the field of image processing, can solve the problems of no longer having comparability, no image clarity index, etc., and achieve the effect of improving the processing speed

Inactive Publication Date: 2014-05-14
SHENZHEN CZTEK
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the shooting scene is different, the maximum peak value of the focus evaluation function will no longer be comparable, so it cannot be used as a general image sharpness indicator

Method used

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  • Image definition detecting method and device

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Experimental program
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Embodiment Construction

[0027] see figure 1 , the image clarity detection method provided by Embodiment 1 of the present invention includes the following steps:

[0028] S110. Acquire an original image, and convert the original image into a grayscale image.

[0029] S120. Select M image blocks in the grayscale image, where M is an integer greater than or equal to 1.

[0030] S130. Calculate the gradient magnitude map of each image block in the M image blocks.

[0031] S140. Convert the gradient magnitude map of each image block into a one-dimensional image edge gradient magnitude signal and a one-dimensional image edge grayscale signal.

[0032] S150. Calculate the sharpness metric value of each image block according to the one-dimensional image edge gradient amplitude signal and the one-dimensional image edge grayscale signal of each image block.

[0033] S160. When M=1, use the sharpness measurement value as the sharpness detection result of the original image, and when M>1, average the sharpnes...

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Abstract

The invention provides an image definition detecting method and device. The image definition detecting method comprises the following steps: acquiring an original image and converting the original image into a grey level image; selecting M image blocks from the gray level image, wherein the M is an integer larger than or equal to one; calculating a gradient magnitude graph of each image block in the M image blocks, converting the gradient magnitude graph into a one-dimension image edge gradient magnitude signal and a one-dimensional image edge grey level signal, and then calculating a definition metric of each image block; when the M equals one, enabling the definition metric to serve as a definition detecting result of the original image, when the M is larger than one, calculating a mean of the definition metrics of all image blocks to obtain a comprehensive definition metric, and enabling the comprehensive definition metric to serve as a definition detecting result of the original image. According to the image definition detecting method, an index for measuring the image definition is established with the edge gradient serving as the basis, and the method has generality to various image scenes.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image definition detection method and device. Background technique [0002] In practical applications, images captured by video cameras or cameras often degrade the image quality due to various reasons, resulting in blurred and unclear visual experience of the human eye. In the prior art, sharpness is often used to evaluate the quality of an image. The sharpness is not specific to any specific scene, and is a subjective feeling of people on the final image caused by the comprehensive result caused by the objective performance of the image sensor and lens. [0003] At present, in digital cameras, digital video cameras, webcams, mobile phones with camera functions, and tablet computers, all camera modules are composed of image sensors and lenses. lens to achieve focus. There are two types of focusing methods: manual and automatic. When manual focus is used, it is usu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 范艳根秦文
Owner SHENZHEN CZTEK
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