Image sensor

Abstract

The invention discloses an image sensor. The image sensor consists of a sensing matrix and a plurality of shutter control lines. The sensing matrix is provided with a plurality of sensing units each of which is provided with an electronic shutter and an optical detection element, wherein the electronic shutter controls the exposure time of the optical detection element. Each shutter control line is coupled with the same row or same line of electronic shutters in the sensing matrix, thus independently controlling the exposure time of optical detection elements of different rows or different lines, and enabling the optical detection elements coupled with the same shutter control line to have equal exposure time.

Description

technical field [0001] The invention relates to an image sensor, in particular to an image sensor with light source variation compensation function. Background technique [0002] Image sensors can convert light into electrical charges, and after processing the charges, output digital electrical signals that constitute images. The digital electrical signal can be stored on a storage medium, or output to an image display device to present an image formed by it on a display screen, so it is very convenient to use. Due to its convenience, image sensors have been used in many electronic devices, such as digital cameras, digital video cameras, mobile phones or mice, and so on. [0003] A general image sensor includes a semiconductor device, which can be a charge-coupled device (CCD) or a complementary metal oxide semiconductor (CMOS). An image sensor is generally composed of pixels arranged in a matrix. When illuminated by light, a pixel generates an electrical charge, or volta...

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 noise ratio; SNR) is low, so it is easy to generate a large calculation error 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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