Derivation, experimental verification, and applications of a new color image model
Name
1052124009-MIT.pdf
Description
Full printable version
Size
7.86 MB
Format
Adobe PDF
Checksum (MD5)
06543e01b33ffab34016b43f6c9e7962
Author(s)
Fuller, Megan M. (Megan Marie)
Advisor(s)
Jae S. Lim.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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