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VL6624 数据表(PDF) 11 Page - STMicroelectronics |
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VL6624 数据表(HTML) 11 Page - STMicroelectronics |
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11 / 106 page ![]() VL6624/VS6624 System architecture 11/106 this information to perform real-time image control tasks such as automatic exposure control. 3.2 Video pipe The main functions contained within the VL6624/VS6624 video processing pipe are as follows. Gain and offset This function is used to apply gain and offset to data coming from the sensor array. The microprocessor applies gain and offset values are controlled by the automatic exposure and white balance algorithms. Anti-vignette This function is used to compensate for the radial roll-off in intensity caused by the lens. By default the anti-vignette setting matches the lens used in this module and does not need to be adjusted. Crop This function allows the user to select an arbitrary Window Of Interest (WOI) from the SXGA-sized pixel array, note that the crop size should not be smaller that the output size. It is fully accessible to the user. Scaler The scaler module performs real time downscaling, in both the horizontal and vertical domain, of the bayer image data this is achieved by sample-rate conversion. The scaler is capable of downscaling from 1.0x to 10x the input number of pixels and lines, in steps of 1/16. Derating The VS6624 contains an internal derating module. This is designed to reduce the peak output data rate of the device by spreading the data over the whole frame period and allowing a subsequent reduction in output clock frequency. The maximum achievable derating factor is x100 for an equivalent scale factor of x10 downscale. As a general rule the allowable derating factor is equal to the square of the scaling factor. Note: The interline period is not guaranteed consistent for all derating ratios. This means the host capture system must be able to cope with use of the sync signals or embedded codes rather than relying on fixed line counts. Defect correction This function runs a defect correction filter over the data in order to remove defects from the final output. This function has been optimized to attain the minimum level of defects from the system and does not need to be adjusted. NoRA The noise reduction module implements an algorithm based on the human-visual system and adaptive pixel filtering that reduces perceived noise in an image whilst maintaining areas of high definition. Demosaic This module performs an interpolation on the Bayer data from the sensor array to produce a sRGB data. At this point an anti-alias filter is applied. Anti-Zipper The demosaic process produces an RGB frame with a noise signal at pixel frequency. To remove this artefact an anti-zipper filter is employed. Sharpening This module increases the high frequency content of the image in order to compensate for the low-pass filtering effects of the previous modules. Gamma This module applies a programmable gain curve to the output data. It is user adjustable. |
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