Biological characteristic part image noise detection method

A technology of biometrics and detection methods, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of poor effect, serious time-consuming, and high complexity of detection schemes, achieving wide applicability of scenes and simple processing flow Efficient and fast evaluation of the effect of image quality
CN112883759AActive Publication Date: 2021-06-01HANGZHOU HIKVISION DIGITAL TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HANGZHOU HIKVISION DIGITAL TECH
Publication Date
2021-06-01

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Abstract

The invention discloses a biological characteristic part image noise detection method, which is characterized in that the method comprises the following steps: based on a biological characteristic part image, image data in an effective area is extracted to obtain effective area image data, and the effective area comprises the biological characteristic part image except an area which interferes with noise judgment; and carrying out convolution calculation on pixel values of pixels in the effective region image data and a convolution kernel to obtain convolution values, calculating an average value of the convolution values to obtain a noise degree representing image noise of the biological feature part, If the noise degree is greater than a preset noise threshold, judging that the biological feature part image is a noise image. According to the method, the noise degree of the effective area can be quickly calculated on the basis of a single-frame image, the processing flow is simple and efficient, and the scene applicability is very wide.
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Description

technical field

[0001] The invention relates to the field of digital image processing, in particular to a method for detecting image noise of biological feature parts. Background technique

[0002] Image noise refers to unnecessary or redundant interference information in image data, such as "snowflake" noise that is usually generated in the case of insufficient light. The existence of noise seriously affects the image quality and must be corrected before image enhancement and classification.

[0003] As one of biometric identification, face, palmprint, fingerprint, etc. have been widely used. Taking facial images as an example, the quality of facial images has a direct impact on the actual effects of face detection algorithms, face recognition algorithms, and face liveness detection algorithms, and is also related to the operation of auxiliary modules, such as exposure control and gain control. , wide dynamic settings, etc., one of the most important criteria for judging ...

Claims

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