Method and apparatus for identifying blurred image based on gradient direction sparse feature information, computing device and storage medium

A gradient direction, blurred image technology, applied in the field of image recognition, can solve the problems of slow speed and large svm classifier model, and achieve the effect of high accuracy and fast recognition speed

Active Publication Date: 2018-12-11
北京中安未来科技有限公司
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However, this method is also slow and requires th

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  • Method and apparatus for identifying blurred image based on gradient direction sparse feature information, computing device and storage medium
  • Method and apparatus for identifying blurred image based on gradient direction sparse feature information, computing device and storage medium
  • Method and apparatus for identifying blurred image based on gradient direction sparse feature information, computing device and storage medium

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[0021] Objects and functions of the present invention and methods for achieving these objects and functions will be elucidated by referring to the exemplary embodiments. However, the present invention is not limited to the exemplary embodiments disclosed below; it may be implemented in various forms. The essence of the description is merely to assist those skilled in the relevant art to comprehensively understand the specific details of the present invention.

[0022] In order to make the technical solutions of the present invention clearer and more comprehensible, the method and device for recognizing a blurred image of the present invention will be described in detail below with reference to the accompanying drawings and in conjunction with specific embodiments.

[0023] figure 1 A flowchart of the blurred image recognition method according to the first exemplary embodiment of the present invention is shown. like figure 1 As shown, the fuzzy image recognition method inclu...

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Abstract

A method and an apparatus for quickly identifying a blur image based on gradient direction sparse characteristic information, a computing device, and a storage medium are provided. The method comprises the following steps: calculating a gradient direction value of an image to be recognized in the range of 0 to 360 degrees; normalizing the value of the gradient direction to 0-1; quantizing the normalized gradient direction value with an interval gap, that is to say, the quantized gradient direction value range is 0 to 1/gap; counting the number of all non-empty points in the histogram of quantized gradient direction values; comparing the number of non-null points with a predetermined value; if the number of non-empty points is less than the predetermined value, judging the image to be recognized to be a blurred image, otherwise, judging the image to be recognized to be a clear image. The method and the apparatus of the invention are fast in identification speed and also are high in accuracy, so that the method and the apparatus can be effectively applied to a mobile phone terminal.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a method and device for recognizing blurred images based on gradient direction sparse feature information, a computing device and a storage medium. Background technique [0002] The objective evaluation of image quality refers to the design of a reasonable algorithm to make the computer automatically and accurately predict the perceived quality of the image. Image quality evaluation results can provide important indicators and basis for parameter optimization of image processing algorithms, performance evaluation of image processing systems, and quality inspection of image processing equipment, and have become one of the research hotspots in the field of image processing. Among them, blind image quality assessment (Blind Image Quality Assessment, BIQA) refers to the accurate prediction of the visual quality of any input image without a reference image. Since in...

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/507G06F18/2136
Inventor 王言伟李杰
Owner 北京中安未来科技有限公司
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