Method for rectifying missing pixels and image sensor

Abstract

The invention discloses a method for rectifying missing pixels and an image sensor. The method for rectifying missing pixels and the image sensor are efficient and accurate. According to the method for rectifying missing pixels, a 5*5Bayer color matrix is established with a pixel to be detected as a center pixel. Firstly, missing pixel rectifying is performed on pixels surrounding the center pixel of the 5*5Bayer color matrix; the pixels surrounding the center pixel of the 5*5Bayer color matrix server as reference points and whether the differential values between the color value of the center pixel and the color values of the surrounding pixels are larger than a first threshold value or not is judged, if yes, the center pixel is determined as a missing pixel and if not, the center pixel is determined as a normal pixel; the center pixel determined as the missing pixel undergoes image rectifying. The method for rectifying missing pixels is accurate in judgment of missing pixels, high in speed and good in effect of rectifying missing pixels.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image dead point correction method and an image sensor. Background technique [0002] At present, the security industry has entered the high-definition era, and the use of CMOS sensors with a resolution of one million has become a trend. Due to the limitations of the image sensor manufacturing process, CMOS sensors will have more and more dead pixels in the image under long-term and high-temperature environments. The so-called dead pixels refer to a color that does not change with the light sensitivity and always presents a color (for example, white, black or color). pixels, thereby destroying the clarity and integrity of high-definition images. The existence of dead pixels is one of the reasons for the decline in image quality. At the same time, due to the increase of dead pixels, the image will be worse in low-noise environments, which affects the use of high-defin...

AI Technical Summary

Problems solved by technology

The existence of dead pixels is one of the reasons for the decline in image quality. At the same time, due to the increase of dead pixels, the image will be worse in low-noise environments, which affects the use of high-definition products.

The traditional dead pixel correction method adopts the method of power-on initialization once to determine the location of the dead pixel when the power is turned on, so as to fix the dead pixel judged when the power is turned on. If the power is not restarted, the correction of the dead pixel It will be limited to a few dead pixels of initialization, so it is not suitable for the correction of dead pixels produced by the camera during long-term use

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