改进的基于分块法的图像噪声估计

doi:10.11772/j.issn.1001-9081.2014.07.2014

计算机应用 ›› 2014, Vol. 34 ›› Issue (7): 2014-2017.DOI: 10.11772/j.issn.1001-9081.2014.07.2014

改进的基于分块法的图像噪声估计

陈会娟,戴声奎

华侨大学信息科学与工程学院，福建厦门 361021

收稿日期:2014-01-15 修回日期:2014-03-03 出版日期:2014-07-01 发布日期:2014-08-01
通讯作者: 陈会娟
作者简介:陈会娟(1989-),女,河北邯郸人,硕士研究生,主要研究方向：噪声估计及去噪、图像去雾、图像增强；戴声奎(1971-),男,湖北武汉人,副教授,博士,主要研究方向：图像处理、视频分析、模式识别。

Improved block-based image noise estimation algorithm

CHEN Huijuan,DAI Shenkui

School of Information Science and Engineering, Huaqiao University, Xiamen Fujian 361021, China

Received:2014-01-15 Revised:2014-03-03 Online:2014-07-01 Published:2014-08-01
Contact: CHEN Huijuan

摘要/Abstract

摘要：

针对含高斯白噪声图像的噪声估计问题，提出一种改进传统分块法的新型算法。该算法提出灰度级范围对部分噪声的抑制作用，并因此造成对偏亮或偏暗图像的噪声估计有严重的欠估计。所提算法从解决此问题着手，合理结合滤波法对噪声的粗略估计结果得出溢出灰度级的边界条件。改进后的分块法自适应地选取划分图像的窗口大小、筛选噪声未溢出的子块及求取标准差排序后的数学统计参数。该算法不仅适用于噪声估计中常用的经典图像，也适用于现实生活中常见的各种监控图像，且噪声估计的结果受图像细节影响很小，对具有不同尺寸、不同信噪比、亮度不均衡及含不同等级噪声等特征的图像均取得较优的估计结果。实验结果表明，该算法具有更普遍的适用性、更高的精度和更好的鲁棒性。

Abstract:

To estimate noise variance in a white Gaussian noise image, an improved block-based algorithm was proposed. The improved noise estimation approach put forward that the gray-level restrains some of the noise. When dealing with brighter or darker images, this phenomenon may cause serious underestimation. The proposed approach started with the key to underestimation, got the boundary condition of overflowing the gray-level by combining filter-based method. The improved block-based method selected window size for partition, sub-blocks without overflowing, mathematical proportion parameter self-adaptively. The approach both applied to the classical noise estimation images and surveillance images which were more common in daily life. The improved block-based method was hardly affected by image details, it performed well in images with different sizes, different Signal-to-Noise Ratio (SNR) or uneven brightness. The experimental result shows that the proposed algorithm possesses wider applicability, higher accuracy and better robustness.

中图分类号:

TP391

陈会娟戴声奎. 改进的基于分块法的图像噪声估计[J]. 计算机应用, 2014, 34(7): 2014-2017.

CHEN Huijuan DAI Shenkui. Improved block-based image noise estimation algorithm[J]. Journal of Computer Applications, 2014, 34(7): 2014-2017.

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改进的基于分块法的图像噪声估计

Improved block-based image noise estimation algorithm

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