Published July 5, 2017
| Version v1
Journal article
Open
A REVIEW WAVELET TRANSFORM AND FUZZY K-MEANS BASED IMAGE DE-NOISING METHOD
Description
The research area of image processing technique using fuzzy k-means and wavelet transform. The enormous amount of data necessary for images is a main reason for the growth of many areas within the research field of computer imaging such as image processing and compression. In order to get this in requisites of the concerned research work, wavelet transforms and k-means clustering is applied. This can be done in order to discover more possible combinations that may lead to the finest de-noising technique. In this review paper we have tried to review the maximum aspects regarding to image de-noising.
Files
Files
(78.7 kB)
Name | Size | Download all |
---|---|---|
md5:a4b9aa40b904855425b64a64b1c340b3
|
78.7 kB | Download |