Image-sensing system and detection and correction method for defective photosensitive element

Abstract

An image-sensing system and a detection and correction method for a defective photosensitive element. An image-sensing system for the efficient detection of defective photosensitive elements is shown. An arithmetic logic unit (ALU) determines a defective pixel candidate of an image sensor based on the first frame captured by the image sensor, performs a lower-part comparison on the defective pixel candidate based on the first frame, and performs an upper-part comparison on the defective pixel candidate based on the second frame captured by the image sensor. The defective pixel candidate is confirmed to be defective based on the first frame as well as the second frame. The arithmetic logic unit buffers, in the first frame, a plurality of pieces of pixel data of the row where the defective pixel is into a defect buffer for lower-part comparison of the defective pixel candidate. The arithmetic logic unit buffers, in the second frame, a plurality of pieces of pixel data of the row where the defective pixel is into the defect buffer for upper-part comparison of the defective pixel candidate.

Description

Technical field [0001] This case is the detection and correction of the defective photosensitive element of the image sensor. Background technique [0002] Image sensor (e.g., CMOS image sensor) may have a sensor with a defect (DEFECT) at the factory, and the degree of reaction to the light is significantly different from the surrounding photosensitive element. Even some photosensitive elements may only be fixed to the output bright order, or the fashion. The above defects may also be due to the factory, the external environment is caused. For example, some photosensitive elements may be defects due to aging. Photoreceptor defects affect the overall image quality of the image. [0003] The defects of the photosensitive elements can be detected by the ratio between the plurality of pixels, and the photographic results based on the peripheral pixels are modified. Traditional techniques are typically a special planning buffer (LINE BUFFER) to demonstrate pixel data to provide defect...

AI Technical Summary

Problems solved by technology

Buffer requirements and power consumption are significantly reduced

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