Infrared Image Enhancement by Denoising Using Stationary Wavelet
首发时间:2004-03-08
Abstract: In the infrared image guidance system, the main factor that affects the guidance accuracy is the noise during the image processing. Therefore, how to eliminate the noise effectively becomes very important to guarantee the guidance accuracy. Traditionally, as wavelets have preferable time-frequency resolving characteristics, they are applied to the denoising of image and better results are obtained. In this paper, a new kind of infrared image threshold denoising method based on discrete stationary wavelet transform (SWT) is presented. That is after making SWT to an infrared image, an adaptive soft threshold denoising is done in the high frequency subbands of each decomposition level respectively. The denoising results show that it has a superior performance than conventional discrete wavelet transform.
keywords: stationary wavelet transform, infrared images, threshold de-noising
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平稳小波变换在红外图像去噪增强中的应用
摘要:针对传统波去噪效果的局限小性,提出了基于离散平稳小波变换的一种红外图像自适应阈值去噪方法。对红外图像进行平稳小波多层变换后,对各层高频细节信号分别进行折衷的软阈值处理,然后进行小波逆变换重建信号,这种方法可以有效地降低噪声,同时又较好地保持图像边缘细节,与传统小波降噪方法相比,有明显优越性。
关键词: 平稳小波变换, 红外图像, 阈值去噪
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No.4224633107871081****
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