A Review Paper on Image Processing Based Algorithms for De-noising and Enhancement of Underwater Images

Author(s):

Miss. Pratiksha Vasantrao Chafle , ICOER PUNE, MAHARASTRA, INDIA; Prof.P.R.Badadapure, ICOER PUNE, MAHARASTRA, INDIA

Keywords:

Noise associated with underwater image, Image De-noising using adaptive wavelet transform, Image Enhancement using histogram equalization method

Abstract:

Any kind of digital information or data is transmitted or sending in the form of digital images or data one of the most common method of communication in the modern era, but after sending of image still the images corrupted with noises so the received images signal needs pre-processing before it can be used in various application. So one of the method for clear the image De-noising technique is involved manipulation of images data to produce a visually high quality images for improving the quality of images by improving some its features, there are various methods or algorithm are available for de-noising of various type of images like spatial domain filtering, nonlinear filtering, wavelet domain, etc. So using adaptive wavelet transform one have numerous advantages like, wavelet offer a simultaneous localization in the time and frequency domain also using fast wavelet transform it is computationally very fast than other filtering methods.

Other Details:

Manuscript Id	:	IJSTEV2I10320
Published in	:	Volume : 2, Issue : 10
Publication Date	:	01/05/2016
Page(s)	:	1086-1090

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