IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 2022-2034, Apr. 2012.

Alleviating Dirty-window-effect in Medium Frame-Rate Binary Video Halftones

Hamood-ur Rehman and Brian L. Evans

Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712 USA -

Paper Draft - Videos

Image and Video Halftoning Research at UT Austin


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 can be commonly observed in medium frame-rate binary video halftones. In this paper, we propose video halftone enhancement algorithms to reduce dirty-window-effect. We assess the performance of the proposed algorithms by presenting objective measures for dirty-window-effect 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
  1. reduce dirty-window-effect under a spatial quality constraint,
  2. reduce dirty-window-effect under a spatial quality constraint with reduced complexity, and
  3. reduce dirty-window-effect under spatial and temporal quality constraints.

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Last Updated 03/23/12.