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Hamood-ur Rehman (University of Texas at Austin), "Artifact Assessment and Generation of Video Halftones". Advisor: Prof. Brian L. Evans (Dec. 2010)
With the advancement of high-resolution display technology, consumers expect high quality display of image and video data. In certain portable electronic books and handsets with micromirror displays, however, displays are binary. For a video stream, a video halftoning algorithm reduces the number of represented colors or gray levels to match the display, which results in visible spatial and temporal artifacts. Evaluating video quality vs. implementation tradeoffs in video halftoning algorithms is critical in display subsystem design. This dissertation concerns the design and analysis of binary video halftoning algorithms for display at 15-30 frames per second. The dissertation proposes
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|Call for Nominations: Chair, Women in Signal Processing Committee and Chair, Young Professionals Committee||10 July 2020|
|ALASKA 2 Steganalysis Challenge is Open||13 July 2020|
|Nominations Open for 2020 SPS Awards||1 September 2020|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2020|
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