Image definition evaluation method and system, storage medium, equipment and application

Abstract

The invention belongs to the technical field of computer image processing, and discloses an image definition evaluation method and system, a storage medium, equipment and application. The method comprises the following steps: obtaining a gray matrix of a to-be-evaluated image; calculating the average value of the gray value of a certain pixel point and the gray difference of the adjacent eight pixels, and representing the local definition index of the point by using the product of the average value and the maximum value in the eight gray differences; and calculating the quadratic sum of the definition index of each matrix block to obtain the definition score of the whole picture. According to the method, the problem that the definition evaluation result is inconsistent with the subjectivefeeling of people when a traditional algorithm is used for dealing with certain highly fuzzy pictures can be solved. And compared with a traditional algorithm, the definition of a general picture canbe evaluated more efficiently.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, and in particular relates to an image definition evaluation method, system, storage medium, equipment and application. Background technique [0002] At present: With the development of image processing technology, image definition evaluation method has become a very important technical requirement. Generally speaking, for an imaging system, the sharpness of the image reflects the focus state of the system. When the focus state is good, the image presents higher definition and contains richer detail information. In the out-of-focus state, many details are lost, making the object image blurred. Nowadays, the image focus evaluation function is usually used to measure the sharpness of the image. Common image focusing functions include: Brenner gradient function, Tenengrad gradient function, Laplacian gradient function, SMD (gray variance) function, variance function, energy gradi...

AI Technical Summary

Problems solved by technology

A camera equipped with a telephoto lens can make the subject stand out in a cluttered environment, but it brings certain difficulties to precise focusing. If the focus is slightly inaccurate during shooting, the subject will be blurred

However, the impact of highly blurred pictures on the judgment of autofocus definition cannot be underestimated.

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