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超分辨率重构图像的噪声分析与消除
引用本文:张地,彭宏. 超分辨率重构图像的噪声分析与消除[J]. 韶关学院学报, 2006, 27(12): 31-34
作者姓名:张地  彭宏
作者单位:1. 韶关学院,计算机系,广东,韶关,512005;华南理工大学,计算机学院,广东,广州,510641
2. 华南理工大学,计算机学院,广东,广州,510641
摘    要:在超分辨率重构图像中,可以观察到四种不同的重构噪声,分别是边缘振荡效应、梳毛效应、边缘锯齿效应和方块效应.本文提出了一种能同时有效地滤除这四种重构噪声的边界自适应滤波算法.实验结果表明,该算法能在保持图像细节信息的同时较好地滤除各种重构噪声.

关 键 词:超分辨率  图像重构  重构噪声
文章编号:1007-5348(2006)12-0031-04
收稿时间:2006-09-25
修稿时间:2006-09-25

Noise analysis and reduction in the super- resolved images
ZHANG Di,PENG Hong. Noise analysis and reduction in the super- resolved images[J]. Journal of Shaoguan University(Social Science Edition), 2006, 27(12): 31-34
Authors:ZHANG Di  PENG Hong
Affiliation:1. Department of Computer, Shaoguan University,Shaoguan 512005, Guangdong, China;2. College of Computer, South China University of Technology, Guangzhou 510641,Guangdong, China
Abstract:In the super-resolution reconstructed images,four types of reconstruction noise can be observed,namely,ringing effect,combing effect,zigzag effect,and blocking effect.In this paper,a novel edge adaptive filter was proposed to suppress all these noises.Experiments demonstrated the effectiveness of the proposed algorithm.
Keywords:super-resolution  image reconstruction  reconstruction noise
本文献已被 CNKI 维普 万方数据 等数据库收录!
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