A kind of picture sharpness calibration method, terminal and computer readable storage medium

Abstract

The embodiment of the present invention discloses a picture definition calibration method, which obtains the resolution of the four corners of a photographed picture, and the photographed picture is a test picture of a standard resolution card; when any of the four corners of the photographed picture When the resolution of the two corners is different, move the center point of the photographed picture according to the resolution of the four corners of the photographed picture; calculate the center point of the photographed picture after the movement to each pixel of the photographed picture. The radial length value of the point; determine the noise reduction processing intensity value of each pixel point of the photographed picture according to the radial length value, so that the noise reduction processing is performed on the photographed picture according to the noise reduction processing intensity value . Embodiments of the present invention also disclose a terminal and a computer-readable storage medium, which can improve picture edge definition, thereby achieving consistent picture edge definition.

Description

technical field [0001] The invention relates to information processing technology in the communication field, and in particular to a picture definition calibration method, a terminal and a computer-readable storage medium. Background technique [0002] Because the optical center of the lens and the sensor (sensor) in the module are not on the same axis, resulting in inconsistencies in the sharpness of the edges of the captured pictures, therefore, it is necessary to perform noise reduction processing on the captured pictures, and filters are usually used to perform noise reduction processing on the captured pictures, for example The Gaussian filter is used to denoise the captured pictures, and there is a very important parameter δ in the Gaussian filter. The parameter δ has a very important influence on the denoising effect of the captured pictures. If the value of the parameter δ is higher, it means The larger the intensity value is set when the image is denoised, the bette...

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Problems solved by technology

[0002] Because the optical centers of the lens and sensor in the module are not on the same axis, resulting in inconsistency in the sharpness of the edges of the captured pictures, therefore, it is necessary to perform noise reduction processing on the captured pictures, and filters are usually used to perform noise reduction processing on the captured pictures, for example The Gaussian filter is used to denoise the captured pictures, and there is a very important parameter δ in the Gaussian filter. The parameter δ has a very important impact on the denoising effect of the captured pictures. If the value of the parameter δ is higher, it means The larger the intensity value set when the image is denoised, the better the noise reduction effect. If the value of the parameter δ is smaller, it means that the set intensity value is smaller when the image is denoised, and the noise reduction effect is better. The effect is relatively poor

[0003] In the prior art, in order to obtain the parameter δ, the coordinate information of each pixel point of the captured picture is usually brought into the Gaussian filter function to obtain the parameter δ, but the parameter δ obtained in this way is a constant, Make the noise reduction intensity value of each pixel of the captured picture the same, using this method can only make the definition of the center point of the captured picture higher, resulting in lower definition of the edge of the captured picture

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