Saketh Malyala

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2024-151

August 1, 2024

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2024/EECS-2024-151.pdf

A vast number of people around the world are affected by optical aberrations and require corrective lenses to see properly. Computational vision correction is an emerging solution to this problem. Vision correcting displays compute and display an image on a screen, such that a user can look at the screen unaided and see a focused picture. This work extends existing frameworks for compressive deconvolution based approaches to the vision correction problem, in order to accommodate higher order aberrations that are not correctable by traditional glasses or lenses. We explored a wavefront based approach for modeling generally aberrated optical systems and how the presence of higher order aberrations affects existing solutions. We modified the compressive deconvolution algorithm to accommodate the most common higher order aberrations. We examined tradeoffs between performance and algorithmic efficiency for these techniques. The results show that the forms of blurring caused by higher order aberrations require more expensive corrections to achieve satisfactory output quality.

Advisors: Brian A. Barsky

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BibTeX citation:

@mastersthesis{Malyala:EECS-2024-151,
    Author= {Malyala, Saketh},
    Title= {Compressive Deconvolution Methods of Higher-Order-Aberrated Optical Systems},
    School= {EECS Department, University of California, Berkeley},
    Year= {2024},
    Month= {Aug},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2024/EECS-2024-151.html},
    Number= {UCB/EECS-2024-151},
    Abstract= {A vast number of people around the world are affected by optical aberrations and require corrective lenses to see properly. Computational vision correction is an emerging solution to this problem. Vision correcting displays compute and display an image on a screen, such that a user can look at the screen unaided and see a focused picture. This work extends existing frameworks for compressive deconvolution based approaches to the vision correction problem, in order to accommodate higher order aberrations that are not correctable by traditional glasses or lenses. We explored a wavefront based approach for modeling generally aberrated optical systems and how the presence of higher order aberrations affects existing solutions. We modified the compressive deconvolution algorithm to accommodate the most common higher order aberrations. We examined tradeoffs between performance and algorithmic efficiency for these techniques. The results show that the forms of blurring caused by higher order aberrations require more expensive corrections to achieve satisfactory output quality.},
}

EndNote citation:

%0 Thesis
%A Malyala, Saketh 
%T Compressive Deconvolution Methods of Higher-Order-Aberrated Optical Systems
%I EECS Department, University of California, Berkeley
%D 2024
%8 August 1
%@ UCB/EECS-2024-151
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2024/EECS-2024-151.html
%F Malyala:EECS-2024-151