Suppr超能文献

减轻中帧率二值视频半调中的脏窗效应。

Alleviating dirty-window effect in medium frame-rate binary video halftones.

机构信息

Department of Electrical andComputer Engineering, The University of Texas at Austin, Austin, TX 78712-0240, USA.

出版信息

IEEE Trans Image Process. 2012 Apr;21(4):2022-34. doi: 10.1109/TIP.2011.2177991. Epub 2011 Dec 2.

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.

摘要

一种视频显示设备,其每像素的位数低于要显示的视频所需的位数,在显示之前对视频进行量化。半色调可以在尝试减少某些量化伪像的可见性的同时执行这种量化。然而,量化伪像并没有被消除。一种称为脏窗效应(DWE)的时间伪像在中等帧率的二进制视频半色调中很常见。在本文中,我们提出了视频半色调增强算法来减少 DWE。我们通过在原始和改进的半色调视频中呈现 DWE 的客观度量来评估所提出算法的性能。本文的预期贡献包括三种中等帧率的二进制视频半色调增强算法,它们可以执行以下操作:1)在空间质量约束下减少 DWE;2)在降低复杂度的空间质量约束下减少 DWE;3)在空间和时间质量约束下减少 DWE。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验