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AP0100CS датащи(PDF) 23 Page - ON Semiconductor |
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AP0100CS датащи(HTML) 23 Page - ON Semiconductor |
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23 / 73 page ![]() AP0100CS/D Rev. 6, Pub. 1/16 EN 23 ©Semiconductor Components Industries, LLC,2016. AP0100CS HDR: Image Signal Processor (ISP) Test Patterns Figure 16: Test Pattern Defect Correction Image stream processing commences with the defect correction function immediately after data decompanding. To obtain defect free images, the pixels marked defective during sensor readout and the pixels determined defective by the defect correction algorithms are replaced with values derived from the non-defective neighboring pixels. This image processing technique is called defect correction. AdaCD (Adaptive Color Difference) Automotive applications require good performance in extremely low light, even at high temperature conditions. In these stringent conditions the image sensor is prone to higher noise levels, and so efficient noise reduction techniques are required to circum- vent this sensor limitation and deliver a high quality image to the user. The AdaCD Noise Reduction Filter is able to adapt its noise filtering process to local image structure and noise level, removing most objectionable color noise while preserving edge details. Black Level Subtraction and Digital Gain After noise reduction, the pixel data goes through black level subtraction and multiplica- tion of all pixel values by a programmable digital gain. Independent color channel digital gain can be adjusted with registers. Black level subtraction (to compensate for sensor data pedestal) is a single value applied to all color channels. If the black level subtraction produces a negative result for a particular pixel, the value of this pixel is set to 0. |
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