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

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Fuller, Megan M. (Megan Marie)

Advisor dc:contributor.advisor

• Jae S. Lim.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/117841

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/117841