Performance Comparison of Wiener Filter and CLS Filter on 2D Signals

机译：维纳滤波器和CLS滤波器在2D信号上的性能比较

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Images acquired by optical, electro optical or electronic means are likely to be degraded by the sensing environment. The degradations may be in the form of sensor noise, blur due to camera misfocus, relative camera motion, random atmospheric turbulence, and so on. Image restoration is concerned with filtering the observed image to minimize the effect of degradation. The effectiveness of image restoration filters depends on the extent and accuracy of the knowledge of the degradation process as well as on the filter design criterion. In this paper, we have considered the performance of Wiener and (CLS) constrained least square filtering methods on the basis of noise to signal ratios, image power, noise power and histograms on restoration images.

机译：通过光学，电光学或电子方式获取的图像可能会因传感环境而变差。降级的形式可能是传感器噪声，由于相机未聚焦，相机相对运动，随机大气湍流等导致的模糊。图像恢复与过滤观察到的图像有关，以最大程度地降低降级效果。图像恢复滤镜的有效性取决于对降解过程的了解程度和准确性以及滤镜设计标准。在本文中，我们基于噪声与信号比，图像功率，噪声功率和恢复图像的直方图，考虑了Wiener和（CLS）约束最小二乘滤波方法的性能。

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《International Conference on Information Technology: New Generations;ITNG '09》|2009年|1244-1249|共6页
会议地点 Las Vegas NV(US);Las Vegas NV(US)
作者
Rajeswari K.R.; Krishna K.M.; Naveen V.J.; Vamsidhar A.;
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Coll. of Eng., Andhra Univ., Visakhapatnam;

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Wiener filters; image restoration; least squares approximations; 2D signals; CLS filter; Wiener filter; constrained least square filtering methods; filter design criterion; image restoration filters; sensing environment; sensor noise; Convolution; constrained LS filter deconvolution; histograms Wiener filter; signal to noise ratios;

机译：维纳滤波器;图像恢复;最小二乘近似; 2D信号; CLS滤波器;维纳滤波器;约束最小二乘滤波方法;滤波器设计准则;图像恢复滤波器;感测环境;传感器噪声;卷积;约束LS滤波器反褶积;直方图维纳滤波器;信噪比;

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1. Filtering of SPECT reconstructions made using Bellini's attenuation correction method: a comparison of three pre-reconstruction filters and a post-reconstruction Wiener filter [J] . Glick S.J., Penney B.C. IEEE Transactions on Nuclear Science . 1991,第2期

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Performance Comparison of Wiener Filter and CLS Filter on 2D Signals

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