alexa Underwater Image De-noising by using Adaptive Wavelet
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article

Underwater Image De-noising by using Adaptive Wavelet Transformation

Shiwam S. Thakare1, Amit M. Sahu2
  1. PG Scholar, Department of Computer Science & Engineering, SGBAU, India
  2. Assistant Professor, Department of PG Studies (Computer Science & Engineering), SGBAU, India
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Abstract

Image de-noising is a process of improving the quality of image by improving its feature. Image denoising is often used in the field of photography or publishing where an image is somehow degraded but needs to be improved before it is utilized. In this paper, various de-noising techniques for underwater images are presented. The underwater images have different degrees of distortions when compared to images from a clearer environment, so it is necessary to deal with such images. Under the influence of underwater special environment, lot of noise occurs due to low contrast, poor visibility conditions, absorption of natural light, non uniform lighting, color variations and blur effect, hence an object identification become typical task. Because of all these reasons, different filtering & Correction techniques are used for processing and enhancement of such underwater images.

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