摘要
来自图像传感器的数字图像会受到各种噪声的干扰,其中主要包括加性噪声、乘性噪声和混合噪声。乘性噪声随信号幅度改变而改变,没有理想的去除方法。为此,运用基于总体最小二乘法的图像估计降噪方法,研究图像块尺寸选取对降噪性能的影响,分析成像系统中去马赛克环节影响噪声传播的内在规律,并通过比较实验给出总体最小二乘法降噪的性能优势。
Images from the digital image sensor are corrupted by all kinds of noise interference, including additive, multiplicative and mixed noise. In particular, the extent of multiplicative noise changes with signal amplitude, there is no better removing method, and Total Least Squares （TLS） estimation is used on image de-noising in this paper. The size of the image patches impacting more greatly on estimation is studied. In addition, de-mosaic impacting on noise propagation in image pipelines is analyzed, and the overall advantages of de-noising using TLS method are comparatively given.
出处
《计算机工程》
CAS
CSCD
北大核心
2010年第24期206-207,210,共3页
Computer Engineering
基金
国家自然科学基金资助项目"基于局部平均采样的多维随机场景重构原理与方法"(60872161)
关键词
图像降噪
去马赛克
总体最小二乘法
乘性噪声
image de-noising
de-mosaic
Total Least Squares（TLS）
multiplicative noise
