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 the 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

[0001] The present invention is a divisional application, the filing date of the original application is March 3, 2011, the application number is 201110050503.6, and the invention name is: image sensor. technical field [0002] The invention relates to an image sensor, in particular to an image sensor with light source variation compensation function. Background technique [0003] 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. [0004] A general image sensor includes a semiconductor device, which can be a charge-coupled device (...

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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