Image Sensor

Abstract

The invention discloses an image sensor, which includes a sensing matrix and multiple shutter control lines. The sensing matrix has a plurality of sensing units, and each sensing unit has an electronic shutter and a light detection element, wherein the electronic shutter controls the exposure time of the light detection element. Each shutter control line is coupled to the electronic shutters in the same column or row in the sensing matrix, thereby independently controlling the exposure time of photodetection elements in different columns or rows, and making the shutters coupled to the same line Said light detecting elements of the control line have the same exposure time.

Description

Technical field [0001] The invention relates to an image sensor, in particular to an image sensor with a light source variation compensation function. Background technique [0002] The image sensor can convert light into electrical charges and process the electrical charges to output digital electrical signals that make up the image. The digital electrical signal can be stored on a storage medium or output to an image display device to present the image formed by it on the display screen, so it is very convenient to use. Because of its convenience, image sensors have been used in many electronic devices, such as digital cameras, digital cameras, mobile phones, or mice. [0003] Generally, an image sensor includes a semiconductor device, which can be a charge-coupled device (CCD) or a complementary metal oxide semiconductor (CMOS). The image sensor is usually composed of pixels arranged in a matrix. When illuminated by light, the pixels generate charges or voltages that represent...

AI Technical Summary

Problems solved by technology

refer to figure 1 and figure 2 As shown, in the optical touch system 1, the brightness distribution of the background light projected on the image sensor 13 is not easy to be uniform.

Inhomogeneous brightness distribution will cause the following disadvantages: pixels subject to strong light will accumulate charges quickly, which will easily cause pixel saturation, which will affect the recognition of objects; in areas with weaker brightness, due to the signal-to-noise ratio noiseratio; SNR) is low, so it is easy to generate a large error in the calculation of the center of gravity of the object image; and if the object image falls on figure 2 Where the slope of the curve is large, the calculation of the center of gravity is not easy

Although this method can make the calculation of the center of gravity of the object image no longer affected by the uneven brightness distribution, it still cannot improve the problem of the center of gravity calculation error of the image generated by the object in the area with weak brightness

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