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Synergy of Physics and Learning-based Models in Computational Imaging and Display

Description:

Computational imaging (CI) is a class of imaging systems that optimize both the opto-electronic hardware and computing software to achieve task-specific improvements. Machine/deep learning models have proven effective in drawing statistical priors from adequate datasets. Yet when designing computational models for CI problems, physics-based models derived from the image formation...

Keyword:

computational imaging, machine learning, event-based vision, and holographic 3D display

Subject:

Optics and Computer science

Creator:

Wang, Zihao

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_763327 and http://dissertations.umi.com/northwestern:15240