Image dead point correction method and related device

Abstract

The present application provides a method for correcting dead pixels in an image and a related device, which determines the attribute value of each pixel according to the coordinates of the dead point of the image sensor, and stores the attribute value of each pixel as bad pixel information in an external memory; When the image sensor outputs an imaging image, it reads the attribute value of each pixel from the above-mentioned external memory, and completes the correction of dead pixels in the imaging image according to the attribute value and a preset correction algorithm. This application stores dead pixel information through an external memory, which can meet the dead pixel information storage requirements of high-resolution, multi-dead pixel image sensors; since the reading speed of the external memory is not less than the preset speed, it can ensure that the image processing chip is The loading speed of bad point information; this application uses the attribute value determined in advance according to the bad point coordinates as bad point information, which can reduce the amount of data processing during the execution of the preset correction algorithm, thereby improving the efficiency of bad point correction and ensuring bad point correction real-time.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method for correcting dead pixels in an image and a related device. Background technique [0002] With the development of technology, the resolution of image sensors is getting higher and higher, so that image acquisition devices such as cameras can obtain clearer images. However, the higher the resolution of the image sensor, the more pixels on the target surface, and due to the limitation of the manufacturing process, the more bad pixels (referred to as bad pixels) in these pixels are also more, which affects the image quality. Therefore, it is necessary to correct dead pixels for each image acquired by an image sensor with dead pixels, and finally output a complete image without dead pixels. [0003] In related technologies, a typical dead pixel correction process includes three steps: dead pixel calibration, dead pixel information loading, and dead pixel...

AI Technical Summary

Problems solved by technology

However, for a high-resolution image sensor, the number of dead pixels is large, and the capacity of the storage unit required to store the coordinates of the dead pixels is relatively large, and the internal storage space of the image processing chip is often small, which is difficult to meet the requirements of multiple bad pixels. Point storage requirements; if the external storage space of the image processing chip is used to store the bad point coordinates, the loading speed of the processing chip to the bad point coordinates will be limited by the read bandwidth of the external storage space, thereby reducing the efficiency and real-time performance of bad point correction

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