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Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Computed Laminography

Description:

X-ray imaging at nano and micro-scale is of great importance for the material science and defense industry. Large penetration depth and low wavelength of x-rays offer an important potential to image objects at high resolution and in a non-invasive process. While the ever-growing community is pursuing novel applications and looking...

Keyword:

Computed Tomography, Deep Image Priors, X-ray Ptychography, Deep Learning, Computational Imaging, and Computed Laminography

Subject:

Electrical engineering, Computational physics, and Computer science

Creator:

Barutcu, Semih

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_927076 and http://dissertations.umi.com/northwestern:16218
Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution

Description:

Super-resolution (SR) has become one of the most critical problems in image and video processing. In Chapter 2 of this thesis, a detailed review of existing Deep Learning (DL) techniques for addressing the SR task, with an emphasis on how DL and analytical techniques can be combined, is provided. Chapter...

Keyword:

Image Processing, Video Processing, Deep Learning, and Super-Resolution

Subject:

Electrical engineering and Computer science

Creator:

Lucas, Alice Marie

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

01/21/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15076 and etdadmin_upload_741221

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Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Computed Laminography

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