Image de-noising using un-decimated wavelet transform (UWT) with soft thresholding technique

Noorbakhsh Amiri Golilarz, H. Demirel
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引用次数: 22

Abstract

Noise can affect an image in a negative way and it can destroy some important details and features of image as well, so we need to dispose the noise to retain significant characteristics of image. This noise removing is very useful in improving the visually of image which leads to improved analysis process. In this paper we introduced a new technique for image de-noising in wavelet domain which uses soft thresholding function. De-noising based on un-decimated wavelet transform (UWT) using soft threshold function results in acquiring better visual quality and PSNR values in comparison with alternative techniques in the field of image de-noising in wavelet domain.
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基于软阈值技术的非抽取小波变换图像去噪方法
噪声会对图像产生负面影响,它会破坏图像的一些重要细节和特征,所以我们需要对噪声进行处理,以保留图像的重要特征。这种去噪方法对提高图像的视觉效果非常有用,从而改善分析过程。本文介绍了一种基于软阈值函数的小波域图像去噪技术。基于软阈值函数的非十进制小波变换(UWT)去噪与小波域图像去噪相比,可以获得更好的视觉质量和PSNR值。
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