Picture definition calibration method, terminal and computer-readable storage medium

Abstract

The embodiment of the invention discloses a picture definition calibration method. The resolution of the four corners of a taken picture is obtained, and the taken picture is a test picture of a standard resolution card; when the values of the resolution of arbitrary two corners in the four corners of the taken picture are different, according to the resolution of the four corners of the taken picture, the central point of the taken picture is moved; the radial length value from the moved central point of the taken picture to each pixel point of the taken picture is calculated; according to the corresponding radial length value, the de-noise processing intensity value of each pixel point of the taken picture is determined, and therefore, according to the de-noise processing intensity values, de-noise processing is conducted on the taken picture. The invention further discloses a terminal and a computer-readable storage medium which can improve the marginal definition of the picture toachieve the uniformity of the picture marginal 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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