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Derivation, experimental verification, and applications of a new color image model

Author(s)
Fuller, Megan M. (Megan Marie)
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Jae S. Lim.
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Image modeling is an important area of image processing. Good image models are useful, for example, in image restoration problems because they provide constraints that can be imposed on degraded images to retrieve better approximations of the original image. Many physical models of images are separable functions of position and wavelength, which means that images can be written as a color independent local average multiplied by a color dependent residual. We will present experimental results showing that this is the case in practice, and discuss the limitations of this model. We will also show that several commonly used observations in image processing follow from this model. Finally, we will demonstrate the results of imposing the model constraints in several image denoising problems and show that degraded images can be improved by imposing the model constraints.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 115-122).
 
Date issued
2018
URI
http://hdl.handle.net/1721.1/117841
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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