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AS0260CSSC28SUD20 数据表(PDF) 36 Page - ON Semiconductor |
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AS0260CSSC28SUD20 数据表(HTML) 36 Page - ON Semiconductor |
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36 / 83 page ![]() AS0260 DS Rev. G Pub. 5/15 EN 36 ©Semiconductor Components Industries, LLC, 2015. AS0260: 1/6-Inch 1080P High-Definition (HD) System-On-A-Chip (SOC) Digi- tal Image Sensor Camera Control and Auto Functions General Purpose I/Os The three general purpose I/Os (GPIOs) of the AS0260 can be configured in multiple ways. Each of the I/Os can be used for multiple purposes and can be programmed from the host. The GPIOs are powered by their own power supply. Auto Exposure The auto exposure algorithm performs automatic adjustments of the image brightness by controlling exposure time and analog gains of the sensor core as well as digital gains applied to the image. Auto exposure is implemented by a firmware driver that analyzes image statistics collected by the exposure measurement engine, makes a decision, and programs the sensor core and color pipeline to achieve the desired exposure. The measurement engine subdivides the image into 25 windows organized as a 5 x 5 grid. Two auto exposure algorithm modes are available: • Average brightness tracking (ABT) or Average Y (ae_rule_algo=0x00) The average brightness tracking AE uses a constant average tracking algorithm where a target brightness value is compared to a current brightness value, and the gain and integration time are adjusted accordingly to meet the target requirement. • Weighted Average Brightness (ae_rule_algo=0x01) Each of the 25 windows can be assigned a weight, which can be changed inde- pendently of each other. The effect of these weights will allow the center of the image to be weighted higher than the periphery. See Figure 27. Figure 27: 5 x 5 Grid • Adaptive Weighted AE for highlights (ae_rule_algo=0x02)- The scene will be exposed based on zone luma and will adapt for highlights. This would expose an image when the background is dark. • Adaptive Weighted AE for lowlights(ae_rule_algo=0x03)- The scene will be exposed based on zone luma and will adapt for lowlights. This would expose an image when the background is brighter. |
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