文章基本信息

标题：Underwater Image De-noising by using Adaptive Wavelet Transformation
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作者：Shiwam S. Thakare ; Amit M. Sahu
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：4
DOI：10.15680/ijircce.2015.0304195
出版社：S&S Publications
摘要：Image de-noising is a process of improving the quality of image by improving its feature. Imagedenoising is often used in the field of photography or publishing where an image is somehow degraded but needs to beimproved before it is utilized. In this paper, various de-noising techniques for underwater images are presented. Theunderwater images have different degrees of distortions when compared to images from a clearer environment, so it isnecessary to deal with such images. Under the influence of underwater special environment, lot of noise occurs due tolow contrast, poor visibility conditions, absorption of natural light, non uniform lighting, color variations and blureffect, hence an object identification become typical task. Because of all these reasons, different filtering & Correctiontechniques are used for processing and enhancement of such underwater images.
关键词：PSNR; MSE; Underwater; Denoising; wavelet transform; adaptive threshold; etc