Image definition evaluating method and device

Abstract

The invention discloses an image definition evaluating method and an image definition evaluating device. The image definition evaluating method comprises the steps of: acquiring an image to be evaluated; preprocessing the image to be evaluated; determining a vertical edge with a declined gray value of each row in the image to be evaluated according to gray values of pixel points of each row in the image to be evaluated; calculating a Value of each vertical edge according to the gray values of the pixel points contained in the vertical edge; setting a variable a with an initial value of 0, and adding 1 to the value of the variable a when the Value of each vertical edge is calculated each time; summating absolute values of Values of the vertical edges of all rows in the image to be evaluated to obtain a Value sum S1 of the image to be evaluated; calculating a mean value S of the Value sum of the image to be evaluated according to a ratio of the S1 to the variable a; and evaluating the definition of the image to be evaluated according to the mean value S. The image definition evaluating method and the image definition evaluating device perform image definition evaluation based on the edge Value of the image, and have the advantages of unimodality, unbiasedness and sensitivity.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image definition evaluation method and device. Background technique [0002] With the popularization and application of intelligent terminal equipment and the rapid development of digital imaging technology and image processing technology, more and more digital images are generated, and the requirements for the clarity of the acquired images are also getting higher and higher. Screening out better images and guiding the control of the imaging system so that the system always works in the best state requires an accurate evaluation of the image clarity. [0003] At present, image sharpness evaluation methods mainly include subjective image sharpness evaluation methods and objective image sharpness evaluation methods. In the subjective image sharpness evaluation method, whether the image is clear or not is completely judged by people’s subjective feelings, a...

AI Technical Summary

Problems solved by technology

[0012] The present invention provides an image definition evaluation method and device, which are used to solve the problem in the prior art that the definition evaluation results simultaneously meet the three requirements of unimodality, unbiasedness, and sensitivity.

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