Bad point detection and correction method and device, storage medium, terminal

Abstract

A dead point detection and correction method and device, storage medium, and terminal. The dead point detection method includes: moving a sliding window pixel by pixel in an image to be detected, and calculating a detail density corresponding to a center pixel by using the pixel values ​​of each pixel in the sliding window; After moving the sliding window, determine the bad pixel threshold coefficient corresponding to the central pixel at least according to the detail density corresponding to the central pixel; The point threshold coefficient calculates the dead point threshold range corresponding to each sub-window, and compares whether the pixel value of the center pixel falls within the bad point threshold range corresponding to each sub-window; after moving the sliding window, according to the dead point corresponding to the center pixel and each sub-window The comparison result of the threshold range determines whether the central pixel is a bad pixel, until the image to be detected is traversed. The technical scheme of the invention can realize the accuracy of dead point detection.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular to a dead point detection and correction method and device, a storage medium, and a terminal. Background technique [0002] Image sensors often have dead pixels, resulting in images that are either too bright or too dark. Dead pixels can be divided into two categories. The first type is a complete white point or black point. The position coordinates and pixel values ​​do not change with time or the intensity of the light falling on it. This kind of dead point can be solved by static dead point correction technology. Type 2 bad pixels have pixel values ​​that vary with the amount of light falling on them, but have a significantly different gain than most others; or work fine with one camera setting and not others ; or it works normally when the light is sufficient, but it does not work normally under low light; or it works normally under normal temperature, but...

AI Technical Summary

Problems solved by technology

Type 2 bad pixels have pixel values ​​that vary with the amount of light falling on them, but have a significantly different gain than most others; or work fine with one camera setting and not others ; or it works normally when the light is sufficient, but it does not work normally under low light; or it works normally under normal temperature, but it does not work normally under high temperature;

[0004] However, the existing dead pixel correction methods usually have a large loss of details

For example, the applicant Altek (patent No. US7589770B2) proposed a method patent for correcting dead pixels in a matrix with a size of 3 pixels × 3 pixels. Although the dead pixels can be effectively corrected, it is easy to cause loss of details.

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