Defect Pixel Correction is a technology that identifies and corrects defective pixels that occur in an image sensor. An image sensor consists of numerous pixels, each of which detects light to form an image. However, some pixels may not function properly due to manufacturing processes or external environmental factors. These defective pixels can appear in random dots or irregular colors on the image.

Bad pixel correction is used to automatically identify and correct defective pixels in the image sensor to maintain normal image output. This process is primarily software and consists of the following steps:

Bad pixel identification - The step of identifying bad pixels on the image sensor. To do this, bad pixels are identified by comparing them to neighboring pixels or by setting specific thresholds.

Calibration value calculation: Calculates the calibration value of a defective pixel based on its location and characteristics. This calibration value is determined by referring to the value of the surrounding pixels.

Pixel Calibration: Corrects the value of the defective pixel based on the calculated calibration value. This corrects the defective pixels to match the surrounding pixels.

Bad pixel correction plays an important role in improving the accuracy and reliability of the image sensor. This technology prevents image quality degradation due to poor pixels, and provides accurate and clear images. In addition, the calibration process must be performed periodically, and new defective pixels must also be responded quickly.