Real-time bad image pixel detection method

Abstract

The invention discloses a method for real-time detecting image dead dot pixel, which is applied in a digital camera to real-time detect dead dot pixel existing in images so as to find out pixels whichneed restoring when the digital camera acquires images. Through real-time detection, the labor power and labor hour which are spent on the dead spot correction program in the production of digital cameras are reduced, and also the storage space used for storing dead dot pixel information for a digital camera is decreased; more importantly, in the process of detection, dead pot pixel can be judgedaccording to different attributes of images, thus dynamically adjusting threshold value; therefore, that what happens to the dead pot pixel can be more accurately mastered, thus reaching the effect of improving the quality of images.

Description

Technical field [0001] The invention relates to a method for detecting dead pixel pixels in an image, which is applied to image processing of a digital camera, and in particular to a method that can use dynamic thresholds to perform real-time judgment of dead pixel pixels in an image. Background technique [0002] At present, in the production process of digital cameras, there is a so-called "dead point correction procedure", that is, the detection and correction of the defective pixels of the image obtained by the image sensor element of the digital camera (such as CCD or CMOS), through some bad pixels The point pixel judgment logic finds out the location of the bad pixel pixels that may exist in the image sensing element, and records it in the storage medium of the digital camera, so that when the digital camera shoots an image, other image processing in the digital camera can be used The program corrects (or is called repair) the bad pixels in the image based on the recorded i...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a method for real-time detection of dead pixels in images, so as to solve the problem that the current digital camera must spend too much manpower and man-hours on the detection and repair of dead pixels in the production line and must occupy storage media space. , and solve the problem that misjudgment or neglect is easy to occur in the real-time bad pixel detection and repair technical means in the prior art, and the problem of not fully considering the image attributes,

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