Image blurring detection method and system and electronic device
A blur detection and image technology, applied in the field of image recognition, can solve problems such as low detection efficiency, and achieve the effect of reducing the amount of data, improving detection efficiency, and reducing computing power requirements.
Active Publication Date: 2019-05-21
创新奇智(广州)科技有限公司
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[0004] In order to overcome the problem of low detection efficiency in the current image blur detection method, the present invention provides an image blur detection method, system and electronic equipment
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[0030] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0031] see Figure 1a , an image blur detection method can be divided into the following steps:
[0032] Step S1: providing the first image to be processed;
[0033] Step S2: dividing the first image into a plurality of second images of a set size;
[0034] Step S3: calculating the activation value of each second image by using a gradient operator;
[0035] Step S4: Arranging the activation values of the plurality of second images according to the order in which the second images are divided in step S2 to obtain an activation image; and
[0036] Step S5: Input the activation i...
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The invention relates to an image blurring detection method, an image blurring detection system and an electronic device. The image blurring detection method comprises the following steps: providing afirst image to be processed; Performing sliding partitioning on the first image, and uniformly dividing the first image into a plurality of second images with set sizes; Inputting the plurality of second images into a preset gradient operator, and calculating an activation value of each second image; Arranging the plurality of second images according to the division order to obtain a complete activated image; And inputting the activated image into a preset neural network, and judging whether the first image is blurred or not according to the activated value. According to the invention, the data size processed by the neural network is reduced, so that the operation speed of the neural network is higher, the detection efficiency of image blurring is improved, the requirement on the operation capability of the processor is reduced, and the popularization and application on mobile equipment are facilitated.
Description
【Technical field】 [0001] The invention belongs to the field of image recognition, in particular to an image blur detection method, system and electronic equipment. 【Background technique】 [0002] The clarity of the image is an important index to measure the quality of the image, and it can better correspond to people's subjective feelings. In image recognition technology, the clarity of the image directly affects the result of image recognition. The low definition of the image shows that the image is blurred, which makes the boundaries of various objects in the image smoother, so that when identifying the boundaries of objects, it is easy to cause misidentification and errors. Therefore, image blur detection can reduce the error of image recognition. [0003] In the existing image blur detection methods, the image is usually input into the neural network, and the entire image is analyzed and processed until the blur confidence of the image is obtained. However, this method...
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IPC IPC(8): G06T7/00
Inventor 张发恩秦永强宋亮赵江华
Owner 创新奇智(广州)科技有限公司