IEEE Trans Image Process - Alleviating dirty-window effect in medium frame-rate binary video halftones.

Tópicos

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Resumo

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.

Resumo Limpo

video display devic lower number bit per pixel requir video display quantiz video prior display halfton can perform quantiz attempt reduc visibl certain quantiz artifact quantiz artifact nevertheless elimin tempor artifact known dirtywindow effect dwe can common observ medium framer binari video halfton paper propos video halfton enhanc algorithm reduc dwe assess perform propos algorithm present object measur dwe origin improv halfton video expect contribut paper includ three medium framer binari video halfton enhanc algorithm follow reduc dwe spatial qualiti constraint reduc dwe spatial qualiti constraint reduc complex reduc dwe spatial tempor qualiti constraint

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