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Date of Award
Spring 2022
Rights
Access perpetually restricted to EWU users with an active EWU NetID
Document Type
Thesis: EWU Only
Degree Name
Master of Science (MS) in Mathematics
Department
Mathematics
Abstract
In applications, images are recorded, blurred, and noisy. This work aims to compute confidence intervals for quantifying the uncertainty of a reconstructed image. By partitioning the image into sub-images, the algorithm remains effective while becoming more efficient. Sub-images also provide flexibility to focus on a local reconstruction, focusing on the parts of the image with the most importance. Many time-sensitive applications require signal restoration and would benefit from this reconstruction process.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Babcock, Jasen, "Image restoration using sub-images and confidence intervals" (2022). EWU Masters Thesis Collection. 742.
https://dc.ewu.edu/theses/742
