文章基本信息

标题：Study on Methods of Noise Reduction in a Stripped Image
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作者：Chang-yan Chi ; Zhang Ji-xian ; Liu Zheng-jun 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B6b
页码：213-216
出版社：Copernicus Publications
摘要：Noise is an important factor that influences image quality，which is mainly produced in the processes of image acquirement and transmission. Noise reduction is necessary for us to do image processing and image interpretation so as to acquire useful information that we want. Because the working status of image transmitter is influenced by varied of factors, such as the environment of image acquired, different noises can be dealt with in different ways. Through the analysis of image spectrum, its difference can help us to choose different methods to do noise reduction while the information of the image is reduced to be the most. This paper illustrates some methods of noise reduction and takes one test image as an example. Since this image was affected by notable striping, the noise reduction methods of this stripped image are mainly studied. Grounded on the previous studies by some experts, we have applied some algorithms to this image. The Gray Value Substitution and Wavelet Transformation are satisfactory in stripped noise reduction. Then, MSR and PSNR are calculated to evaluate the processed image. Results suggest that the methods used in this paper are suitable in processing this noise
关键词：Stripped Noise; Image Processing; Frequency Spectrum; MSE; PSNR