Advisor

Mau Nam Nguyen

Document Type

Report

Publication Date

8-23-2019

Abstract

In this project, we apply nonconvex optimization techniques to study the problems of image recovery and dictionary learning. The main focus is on reconstructing a digital image in which several pixels are lost and/or corrupted by Gaussian noise. We solve the problem using an optimization model involving a sparsity-inducing regularization represented as a difference of two convex functions. Then we apply different optimization techniques for minimizing differences of convex functions to tackle the research problem.

Persistent Identifier

https://archives.pdx.edu/ds/psu/29451

Annotated_Bibliography.docx (273 kB)
Annotations of 5 papers

CryoEM using MicroED Method.pptx (2533 kB)
Summary of research paper and exercise

symposium_presentation.pdf (1251 kB)
Final presentation

Available for download on Wednesday, December 23, 2020

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