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On pixel-based texture synthesis by non-parametric sampling

在由非参量的采样的基于象素的质地合成上

作     者:Shin, Seunghyup Nishita, Tomoyuki Shin, Sung Yong 

作者机构:Korea Adv Inst Sci & Technol Div CS Taejon 305701 South Korea Elect & Telecommun Res Inst Comp Graph Res Team Digital Content Res Div Taejon 305700 South Korea Univ Tokyo Grad Sch Frontier Sci Dept Complex Sci & Engn Bunkyo Ku Tokyo 1130033 Japan 

出 版 物:《COMPUTERS & GRAPHICS-UK》 (计算机与图形学)

年 卷 期:2006年第30卷第5期

页      面:767-778页

核心收录:

学科分类:08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:Korea Science and Engineering Foundation, KOSEF Ministry of Education and Human Resources Development, MOEHRD 

主  题:texture synthesis image processing non-parametric sampling 

摘      要:In this paper, we propose a pixel-based method for texture synthesis with non-parametric sampling. On top of the general framework of pixel-based approaches, our method has three distinguishing features: window size estimation, seed point planting, and iterative refinement. The size of a window is estimated to capture the structural components of the dominant scale embedded in the texture sample. To guide the pixel sampling process at the initial iteration, a grid of seed points are sampled from the example texture. Finally, an iterative refinement scheme is adopted to diffuse the non-stationarity artifact over the entire texture. Our objective is to enhance texture quality as much as possible with a minor sacrifice in efficiency in order to support our conjecture that the pixel-based approach would yield high quality images. (c) 2006 Elsevier Ltd. All rights reserved.

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