随机筛选抖动与自适应聚类

Proceedings of the 22nd annual conference on Computer graphics and interactive techniques Pub Date : 1995-09-15 DOI:10.1145/218380.218452

L. Velho, J. Gomes

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引用次数: 44

摘要

我们开发了一种聚类抖动方法，该方法使用随机筛选，并能够执行自适应的聚类大小变化。这使得在保留图像细节的同时实现灰色阴影的最佳呈现成为可能。该算法是对[3]上发表的空间填充曲线抖动方法的改进。CR描述:B.4.2[输入/输出和数据通信]:输入输出设备图像显示;I.3.3【计算机图形学】:图片/图像生成显示算法;I.3.6[计算机图形学]:方法论和技术;I.4.3【图像处理】:增强。额外的

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Stochastic screening dithering with adaptive clustering

Wedevelop a clustereddithering method that uses stochastic screening and is able to perform an adaptive variation of the cluster size. This makes it possible to achieve optimal rendition of gray shades while preserving image details. The algorithm is an improvement to the dithering with space filling curves method, published in [3]. CR Descriptors: B.4.2 [Input/Output and Data Communications]: Input-Output Devices Image Display; I.3.3 [Computer Graphics]: Picture/image generation Display algorithms; I.3.6 [Computer Graphics]: Methodology and Techniques; I.4.3 [Image Processing]: Enhancement. Additional

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Proceedings of the 22nd annual conference on Computer graphics and interactive techniques

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