A new test set design and benchmarking approach (US Patent pending) allows a \"standard observer\" to assess the end-to-end image quality characteristics of video imaging systems operating in day time or low-light conditions.
It uses randomized targets based on extensive application of Photometry, Geometrical Optics, and Digital Media.
The benchmarking takes into account the target’s contrast sensitivity, its color characteristics, and several aspects of human vision such as visual acuity and dynamic response. The standard observer is part of the \"extended video imaging system\" (EVIS).
The new test set allows image quality benchmarking by a panel of standard observers at the same time. The new approach shows that an unbiased assessment can be guaranteed.
Manufacturers, system integrators, and end users will assess end-to-end performance by simulating a choice of different colors, luminance levels, and dynamic conditions in the laboratory or in permanent video systems installations.
","abstract_html":"<p>A new test set design and benchmarking approach (US Patent pending) allows a "standard observer" to assess the end-to-end image quality characteristics of video imaging systems operating in day time or low-light conditions.</p> <p>It uses randomized targets based on extensive application of Photometry, Geometrical Optics, and Digital Media.</p> <p>The benchmarking takes into account the target’s contrast sensitivity, its color characteristics, and several aspects of human vision such as visual acuity and dynamic response. The standard observer is part of the "extended video imaging system" (EVIS).</p> <p>The new test set allows image quality benchmarking by a panel of standard observers at the same time. The new approach shows that an unbiased assessment can be guaranteed.</p> <p>Manufacturers, system integrators, and end users will assess end-to-end performance by simulating a choice of different colors, luminance levels, and dynamic conditions in the laboratory or in permanent video systems installations.</p>","abstract_has_math":false,"creators":["Raventos, Joaquin"],"institution":null,"degree_name":"MS (Master of Science)","degree_level":"Thesis - unrestricted","degree_discipline":"Technology","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-12-01T08:00:00Z","date_published":"2011-12-01T08:00:00Z","updated_at":"2026-07-24T02:20:06Z","subjects":["video image quality","low light camera","image quality benchmarking","Engineering"],"languages":[],"rights":["Copyright by the authors."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.etsu.edu/etd/1226","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Raventos, Joaquin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2013-08-11T07:00:00Z"]},{"key":"dc:date.issued","label":"Date","values":["2011-12-01T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - unrestricted"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS (Master of Science)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["video image quality","low light camera","image quality benchmarking","Engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright by the authors."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.etsu.edu/context/etd/article/2412/viewcontent/New_Test_Set_for_Video_Quality_Benchmarking.pdf","https://dc.etsu.edu/etd/1226"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["A new test set design and benchmarking approach (US Patent pending) allows a \"standard observer\" to assess the end-to-end image quality characteristics of video imaging systems operating in day time or low-light conditions.
It uses randomized targets based on extensive application of Photometry, Geometrical Optics, and Digital Media.
The benchmarking takes into account the target’s contrast sensitivity, its color characteristics, and several aspects of human vision such as visual acuity and dynamic response. The standard observer is part of the \"extended video imaging system\" (EVIS).
The new test set allows image quality benchmarking by a panel of standard observers at the same time. The new approach shows that an unbiased assessment can be guaranteed.
Manufacturers, system integrators, and end users will assess end-to-end performance by simulating a choice of different colors, luminance levels, and dynamic conditions in the laboratory or in permanent video systems installations.
"]},{"key":"dc:title","label":"Title","values":["New Test Set for Video Quality Benchmarking"]}]}],"canonical_facts":{"dc:creator":["Raventos, Joaquin"],"dc:date.available":["2013-08-11T07:00:00Z"],"dc:date.issued":["2011-12-01T08:00:00Z"],"dc:description.abstract":["A new test set design and benchmarking approach (US Patent pending) allows a \"standard observer\" to assess the end-to-end image quality characteristics of video imaging systems operating in day time or low-light conditions.
It uses randomized targets based on extensive application of Photometry, Geometrical Optics, and Digital Media.
The benchmarking takes into account the target’s contrast sensitivity, its color characteristics, and several aspects of human vision such as visual acuity and dynamic response. The standard observer is part of the \"extended video imaging system\" (EVIS).
The new test set allows image quality benchmarking by a panel of standard observers at the same time. The new approach shows that an unbiased assessment can be guaranteed.
Manufacturers, system integrators, and end users will assess end-to-end performance by simulating a choice of different colors, luminance levels, and dynamic conditions in the laboratory or in permanent video systems installations.
"],"dc:identifier":["https://dc.etsu.edu/context/etd/article/2412/viewcontent/New_Test_Set_for_Video_Quality_Benchmarking.pdf","https://dc.etsu.edu/etd/1226"],"dc:rights":["Copyright by the authors."],"dc:subject":["video image quality","low light camera","image quality benchmarking","Engineering"],"dc:title":["New Test Set for Video Quality Benchmarking"],"thesis:degree_discipline":["Technology"],"thesis:degree_level":["Thesis - unrestricted"],"thesis:degree_name":["MS (Master of Science)"]},"updated_at":"2026-07-24T02:20:06Z"}