A system and method for calibration of digital image capture devices is
presented that allows the further development of e-commerce by ensuring
that the digital image accurately represents the colors of the captured
image. This simplified method provides a calibration of the relationship
between a digital image capture device output and the human visual
perception of the colors input into the device using easily available and
affordable test targets, measurement devices, and software with a minimum
of labor and expertise. This analysis may be performed using the data
analysis tools of a conventional electronic spreadsheet having matrix
multiplication and regression capability. Specifically, the method
normalizes the test target data to both black and white, and converts the
normalized data into the color space of the capture device through white
point adaptation. The raw captured image data is also normalized to both
black and white, and is regressed with the converted, normalized target
data to determine the expected measurement values. These values are used
to compensate the device output to achieve a high level of color fidelity.
To ensure that the level of fidelity is acceptable, the CIE color
difference equations are used.
