VS6624P0LP datasheet(11/100 Pages) STMICROELECTRONICS

11 / 100 page

VS6624

System architecture

Rev 1

11/100

3.2

Video pipe

The main functions contained within the 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.

YUV conversion

This module performs color space conversion from RGB to YUV. It is

used to control the contrast and color saturation of the output image as well as the fade to

black feature.

Dither

This module is used to reduce the contouring effect seen in RGB

images with truncated data.

VS6624P0LP Datasheet(PDF) 11 Page - STMicroelectronics

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