The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
On the study of the near-infrared image de-noising method compares experiments
Author(s): 
Pages: 657-661
Year: Issue:  11
Journal: INFRARED TECHNOLOGY

Keyword:  近红外图像去噪小波分析形态学滤波分形技术;
Abstract: 为了选择一种既能消除近红外图像噪声又能达到保持其图像边缘要求的消噪方法,通过比较各种常见的图像去噪算法,采用信噪比(SNR)、均方根误差(RMSE)和图像灰度曲面图等作为图像去噪效果的评估.对实际拍摄的多幅近红外图像进行消噪效果对比,仿真实验结果表明:在综合考滤图像去噪平滑效果、图像清晰程度和时间复杂度的基础上,分形消噪法较优,可应用于近红外图像的消噪处理.
Related Articles
No related articles found