Mobile terminal and mobile terminal based fingerprint information image processing method

Abstract

The invention discloses a mobile terminal. The mobile terminal comprises an acquisition module, a first processing module, a second processing module and a third processing module, and is characterized in that the acquisition module is used for activating a fingerprint acquisition mode according to an instruction triggered by a user and acquiring a user fingerprint feature information image; the first processing module is used for performing high-contrast processing on the user fingerprint feature information image and acquiring a high-contrast processed user fingerprint feature information image; the second processing module is used for performing sharpening processing on the high-contrast processed user fingerprint feature information image and acquiring a sharpening processed user fingerprint feature information image; and the third processing module is used for performing compression processing on the sharpening processed user fingerprint feature information image and acquiring a compression processed user fingerprint feature information image. The invention further discloses a mobile terminal based fingerprint information image processing method. According to the invention, the clarity of a fingerprint image can be improved, and the memory for storing the fingerprint image is reduced.

Description

technical field [0001] The invention relates to the field of fingerprint image processing, in particular to a mobile terminal and a fingerprint information image processing method based on the mobile terminal. Background technique [0002] In an existing mobile terminal, a series of algorithm processing is generally performed when an image is formed, and finally an ideal image can be output. However, due to a series of image processing, the image will inevitably be blurred and the definition will be reduced, which will seriously affect the visual quality. Moreover, after sharpening the image, it is generally saved directly, which consumes a large amount of memory. Therefore, it is necessary to perform further edge sharpening, high-contrast processing, and compression on the image to enhance the edge, so as to improve the visual quality of the image and reduce the memory required for saving. [0003] In existing image sharpening schemes, for example, based on an unsharp mas...

AI Technical Summary

Problems solved by technology

[0003] In the existing image sharpening scheme, for example, based on the unsharp mask algorithm, the black and white edges are sharpened to the same intensity, which will cause serious black and white edges to appear on the edge of the image

However, if the sharpening intensity is reduced, the sharpening intensity of the black part and the white part will be reduced at the same time, so that although the black and white edges are weakened, the image sharpness is also reduced accordingly, making the image effect after sharpening very unsatisfactory. it is good

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