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VL6624 数据表(PDF) 11 Page - STMicroelectronics

部件名 VL6624
功能描述  1.3 Megapixel single-chip camera module
PDF  106 Pages
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制造商  STMICROELECTRONICS [STMicroelectronics]
网页  http://www.st.com
标志 STMICROELECTRONICS - STMicroelectronics

VL6624 数据表(HTML) 11 Page - STMicroelectronics

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VL6624/VS6624
System architecture
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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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