The objective of this thesis is the improvement of FastDVDNet’s temporal performance within the video denoising problem space. Video denoising refers to the removal of undesired artifacts, or noise, from a given video sequence. Due to the temporal nature of video sequences, flickering or temporal artifacts remain after denoising. TempFormer, another video denoising model, recently created a solution that provides state of the art results for the minimization of flickering. After modification of FastDVDNet, the goal is a model with fast inference time, or time to denoise a frame, and reduced flickering. The solution will primarily cover the modification of FastDVDNet’s high-level architecture and loss function. Additionally, the problem space of video denoising and methods of determining a model’s performance are explored. The content will focus on a grounds-up approach for both understanding and reproducing the results that follow.
","abstract_html":"<p>The objective of this thesis is the improvement of FastDVDNet’s temporal performance within the video denoising problem space. Video denoising refers to the removal of undesired artifacts, or noise, from a given video sequence. Due to the temporal nature of video sequences, flickering or temporal artifacts remain after denoising. TempFormer, another video denoising model, recently created a solution that provides state of the art results for the minimization of flickering. After modification of FastDVDNet, the goal is a model with fast inference time, or time to denoise a frame, and reduced flickering. The solution will primarily cover the modification of FastDVDNet’s high-level architecture and loss function. Additionally, the problem space of video denoising and methods of determining a model’s performance are explored. The content will focus on a grounds-up approach for both understanding and reproducing the results that follow.</p>","abstract_has_math":false,"creators":["Henderson, Michael J."],"institution":null,"degree_name":"Master of Science (MS) in Computer Science","degree_level":"Thesis: EWU Only","degree_discipline":"Computer Science and Electrical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-01-01T08:00:00Z","date_published":"2023-01-01T08:00:00Z","updated_at":"2026-07-24T02:13:16Z","subjects":["Other Computer Sciences"],"languages":[],"rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.ewu.edu/theses/863","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Henderson, Michael J."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science and Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis: EWU Only"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS) in Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Other Computer Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Access perpetually restricted to EWU users with an active EWU NetID"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.ewu.edu/theses/863"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The objective of this thesis is the improvement of FastDVDNet’s temporal performance within the video denoising problem space. Video denoising refers to the removal of undesired artifacts, or noise, from a given video sequence. Due to the temporal nature of video sequences, flickering or temporal artifacts remain after denoising. TempFormer, another video denoising model, recently created a solution that provides state of the art results for the minimization of flickering. After modification of FastDVDNet, the goal is a model with fast inference time, or time to denoise a frame, and reduced flickering. The solution will primarily cover the modification of FastDVDNet’s high-level architecture and loss function. Additionally, the problem space of video denoising and methods of determining a model’s performance are explored. The content will focus on a grounds-up approach for both understanding and reproducing the results that follow.
"]},{"key":"dc:title","label":"Title","values":["Temporally consistent FastDVDNet: an overlap loss implementation for FastDVDNet"]}]}],"canonical_facts":{"dc:creator":["Henderson, Michael J."],"dc:description.abstract":["The objective of this thesis is the improvement of FastDVDNet’s temporal performance within the video denoising problem space. Video denoising refers to the removal of undesired artifacts, or noise, from a given video sequence. Due to the temporal nature of video sequences, flickering or temporal artifacts remain after denoising. TempFormer, another video denoising model, recently created a solution that provides state of the art results for the minimization of flickering. After modification of FastDVDNet, the goal is a model with fast inference time, or time to denoise a frame, and reduced flickering. The solution will primarily cover the modification of FastDVDNet’s high-level architecture and loss function. Additionally, the problem space of video denoising and methods of determining a model’s performance are explored. The content will focus on a grounds-up approach for both understanding and reproducing the results that follow.
"],"dc:identifier":["https://dc.ewu.edu/theses/863"],"dc:rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"dc:subject":["Other Computer Sciences"],"dc:title":["Temporally consistent FastDVDNet: an overlap loss implementation for FastDVDNet"],"thesis:degree_discipline":["Computer Science and Electrical Engineering"],"thesis:degree_level":["Thesis: EWU Only"],"thesis:degree_name":["Master of Science (MS) in Computer Science"]},"updated_at":"2026-07-24T02:13:16Z"}