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Diagnosing and Correcting Systematic Errors in Spectral-Based Digital Imaging

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A digital imaging system containing a calibration target, an image capture device, and a mathematical model to estimate spectral reflectance factor was treated as a spectrophotometer and as such subject to systematic and random errors. The systematic errors considered were photometric zero, photometric linear and nonlinear scale, wavelength linear and nonlinear scale, and bandwidth. To diagnose and correct the systematic errors in a spectral imaging system, a technique using multiple linear regression as a function of wavelength was employed, based on the measurement and image based estimating of several image verification targets. Based on the stepwise regression technique, the most significant diagnosed systematic errors were photometric zeros, photometric linear scale, wavelength linear scale, and bandwidth errors. The performance of spectral imaging after correction of the estimated spectral reflectance, based on the modeling result, was improved on average 25.3% spectrally and 16.7% colorimetrically. This technique is suggested as a general method to improve the performance of spectral imaging systems.
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Document Type: Research Article

Publication date: January 1, 2005

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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