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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
Image Super-Resolution Enhancements for Airborne Sensors

Description:

This thesis discusses the application of advanced digital signal and image processing techniques, particularly the technique known as super-resolution (SR), to enhance the imagery produced by cameras mounted on an airborne platform such as an unmanned aircraft system (UAS). SR is an image processing technology applicable to any digital, pixilated...

Keyword:

Photogrammetry, Image Processing, Remote Sensing, and Superresolution

Subject:

Electrical and Computer Engineering

Creator:

Matthew Collier Woods

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/26/2018

Date Modified:

02/26/2018

Date Created:

2016-01-01

Resource Type:

Dissertation

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Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution

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