A Method of Image Singular Point Correction

Abstract

The invention discloses an image singular point correction method, which belongs to the field of image signal processing. The input bayer image is used to find the singular points in the image through the singular point detection module, and then the singular point type is determined according to the singular point type judgment module. And according to different types, the singular points are corrected using different methods through the singular point correction module, and the singular point corrected image is output. The present invention corrects the singular points in the image, which can improve the look and feel of the image, and uses the surrounding sample points to correct the singular points. Detecting singular points by using the difference does not require special environments and special processes, greatly reducing the implementation complexity, and correcting singular points will not affect the clarity of the image.

Description

technical field [0001] The invention relates to a method for correcting singular points, and more specifically, relates to a method for correcting singular points of an image, which belongs to the field of image signal processing. Background technique [0002] The image singularity point refers to some sample points in the image that are too different from the surrounding pixels, which is visually harsh. According to the formation reason of the singular point, there are generally two ways to correct the singular point in the prior art. Specifically: the first one is that due to the manufacturing process and material differences, some pixel positions of the image sensor are photosensitive, that is, no matter what the external light is, the position always displays the same brightness. The characteristic of this singular point is in the image The position is fixed. According to its value, it can be divided into two types: "bright spot" and "dark spot". It can be stored in adv...

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Problems solved by technology

Specifically: the first one is that due to the manufacturing process and material differences, some pixel positions of the image sensor are photosensitive, that is, no matter what the external light is, the position always displays the same brightness. The characteristic of this singular point is in the image The position is fixed. According to its value, it can be divided into two types: "bright spot" and "dark spot". It can be stored in advance and then corrected in a special way, but storing the singular point position requires a lot of memory space , especially for images with larger resolutions, the implementation cost is higher. At the same time, the position of each photosensitive component is different, so it needs to be detected in a special environment, and the process is more complicated; the second is that the singularity is caused by noise. The value and position of the singular point in the image are not fixed. In actual processing, it is usually corrected by filtering and using the weighted value of the surrounding samples, which will affect its clarity.

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