MT9V135C12STC Datasheet, PDF(13/17 Page) Micron Technology – 1/4-Inch System-On-A-Chip (SOC) VGA NTSC/PAL CMOS Digital Image Sensor

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MT9V135C12STC Datasheet, PDF (13/17 Pages) Micron Technology – 1/4-Inch System-On-A-Chip (SOC) VGA NTSC/PAL CMOS Digital Image Sensor

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Preliminary

MT9V135: SOC VGA Digital Image Sensor

Detailed Architecture Overview

Defect Correction

This device supports 2D defect correction. In 2D defect detection/correction, pixels with

values different from their neighbors by greater than a defined threshold are considered

defects unless near the image boundary. The approach is termed 2D, as pixels on neigh-

boring lines as well as neighboring pixels on the same line are considered in both detec-

tion and correction.

Color Correction

To obtain good color rendition and saturation, it is necessary to compensate for the

differences between the spectral characteristics of the imager color filter array and the

spectral response of the human eye. This compensation, also known as color separation,

is achieved through linear transformation of the image with a 3 x 3 element color correc-

tion matrix. The optimal values for the color correction coefficients depend on the

spectra of the incident illumination and can be programmed by the user.

Color Saturation Control

Both color saturation and sharpness enhancement can be set by the user, or adjusted

automatically by tracking the magnitude of the gains used by the auto exposure algo-

rithm.

Automatic White Balance

The MT9V135 has a built-in AWB algorithm designed to compensate for the effects of

changing scene illumination on the quality of the color rendition. This sophisticated

algorithm consists of two major submodules:

â¢ A measurement engine (ME) performing statistical analysis of the image.

â¢ A module selecting the optimal color correction matrix and analog color channel

gains in the sensor core.

While the default algorithm settings are adequate in most situations, the user can repro-

gram base color correction matrices and limit color channel gains. The AWB does not

attempt to locate the brightest or grayest elements in the image; it performs in-depth

image analysis to differentiate between changes in predominant spectra of illumination

and changes in predominant scene colors. Factory defaults are suitable for most appli-

cations; however, a wide range of algorithm parameters can be overwritten by the user

through the serial interface.

Auto Exposure

The auto exposure algorithm performs automatic adjustments to image brightness by

controlling exposure time and analog gains in the sensor core, as well as digital gain

applied to the image. The algorithm relies on the auto exposure measurement engine

that tracks speed and amplitude changes in the overall luminance of selected windows

in the image.

Back light compensation is achieved by weighting the luminance in the center of the

image higher than the luminance on the periphery. Other algorithm features include

fast-fluctuating illumination rejection (time averaging), response-speed control, and

controlled sensitivity to small changes.

While the default settings are adequate in most situations, the user can program target

brightness, measurement window, and other parameters as described above. The auto

exposure algorithm enables compensation for a broad range of illumination intensities.

PDF: 09005aef82c99cd/Source:09005aef824c99db

MT9V135_LDS_2.fm - Rev. B 3/07 EN

Micron Technology, Inc., reserves the right to change products or specifications without notice.

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