Oregon State University

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PhD Final Oral Examination - Heng Zhang


Tuesday, November 29, 2011 2:00 PM - 4:00 PM

Applied Color Processing
The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans.

This dissertation addresses a few topics surrounding the color processing of digital image pipelines from a practical point of view. Color processing fundamentals will be discussed in the beginning to form a background understanding for the topics that follow. A memory color assisted illuminant estimation algorithm is then introduced after a review of memory colors and some modeling techniques. Spectral sensitivity of the camera is required by many color constancy algorithms but such data is often not readily available. To tackle this problem, an alternative method to the spectral characterization for color constancy parameter calibration is proposed. Hue control in color reproduction can be of great importance especially when memory colors are concerned. A hue constrained matrix optimization algorithm is introduced to address this issue, followed by a psychophysical study to systematically arrive at a recommendation for the optimized preferred color reproduction. At the end, color processing for high dynamic range imaging is discussed and a color constancy algorithm dealing with scenes with multiple illuminants is proposed.

Major Advisor:            Huaping Liu
Committee:                 Thinh Nguyen
Committee:                 Sinisa Todorovic
Committee:                 Bechir Hamdaoui
Committee:                 Shuxue Quan
GCR:                           Wei Kong


Kelley Engineering Center (campus map)
1007
Ferne Simendinger
1 541 737 2889
ferne at eecs.oregonstate.edu
Sch Elect Engr/Comp Sci
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