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Hardware Acceleration of Most Apparent Distortion Image Quality Assessment Algorithm on FPGA Using OpenCL


Abstract The information era has brought about many technological advancements in the past

few decades, and that has led to an exponential increase in the creation of digital images and

videos. Constantly, all digital images go through some image processing algorithm for

various reasons like compression, transmission, storage, etc. There is data loss during this

process which leaves us with a degraded image. Hence, to ensure minimal degradation of

images, the requirement for quality assessment has become mandatory. Image Quality

Assessment (IQA) has been researched and developed over the last several decades to

predict the quality score in a manner that agrees with human judgments of quality. Modern

image quality assessment (IQA) algorithms ... (more)
Created Date 2017
Contributor Gunavelu Mohan, Aswin (Author) / Sohoni, Sohum (Advisor) / Ren, Fengbo (Advisor) / Seo, Jae-sun (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Computer engineering / FPGA / Hardware Acceleration / Image Quality Assessment / OpenCL
Type Masters Thesis
Extent 66 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Electrical Engineering 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis