DocumentCode
1388108
Title
Alleviating Dirty-Window Effect in Medium Frame-Rate Binary Video Halftones
Author
Rehman, Hamood-Ur ; Evans, Brian L.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Volume
21
Issue
4
fYear
2012
fDate
4/1/2012 12:00:00 AM
Firstpage
2022
Lastpage
2034
Abstract
A video display device having a lower number of bits per pixel than that required by the video to be displayed quantizes the video prior to its display. Halftoning can perform this quantization while attempting to reduce the visibility of certain quantization artifacts. Quantization artifacts are, nevertheless, not eliminated. A temporal artifact known as dirty-window effect (DWE) can be commonly observed in medium frame-rate binary video halftones. In this paper, we propose video halftone enhancement algorithms to reduce DWE. We assess the performance of the proposed algorithms by presenting objective measures for DWE in the original and the improved halftone videos. The expected contributions of this paper include three medium frame-rate binary video halftone enhancement algorithms that do the following: 1) reduce DWE under a spatial quality constraint; 2) reduce DWE under a spatial quality constraint with reduced complexity; and 3) reduce DWE under spatial and temporal quality constraints.
Keywords
display devices; image enhancement; quantisation (signal); video signal processing; DWE; dirty-window effect; halftone videos; halftoning; medium frame-rate binary video halftone enhancement algorithms; medium frame-rate binary video halftones; quantization artifacts; spatial quality constraint; temporal artifact; temporal quality constraints; video display device; Algorithm design and analysis; Convergence; Convolution; Correlation; Humans; Performance evaluation; Quantization; Dirty-window effect (DWE); temporal artifacts; video halftoning; Algorithms; Artifacts; Color; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Photography; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2011.2177991
Filename
6094212
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