DocumentCode :
3029860
Title :
New method of noise removal in images using curvelet transform
Author :
Kumar, Sumit ; Biswas, Mantosh
Author_Institution :
Dept. of Comput. Eng., NIT Kurukshetra, Kurukshetra, India
fYear :
2015
fDate :
15-16 May 2015
Firstpage :
1193
Lastpage :
1197
Abstract :
The term Curvelet transform in the field of Image Processing is quite well known from past few years. Its ability to detect curved features and smooth areas in an image marks its huge importance in the area of image denoising. However the ability to denoise image depends upon the selection and application of threshold after doing Curvelet based decomposition of an image. In this paper we are presenting our research methodology based on Curvelet transform image denoising. Our approach is based on the implementation of a modified window neighborhood processing that adapt itself based on the variance of neighboring pixels. We describe the problem we are considering for our research, present a brief overview of relative literature, describe the proposed methodology we have implemented and illustrate our future plan.
Keywords :
curvelet transforms; feature extraction; image denoising; curved feature detection; curvelet based decomposition; curvelet transform; image denoising; image processing; neighboring pixel variance; noise removal; research methodology; threshold selection; window neighborhood processing; Automation; Image denoising; Image edge detection; Noise; Wavelet transforms; Curvelet transform; Windowshrink and Bayesshrink; modified window neighborhood thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
Type :
conf
DOI :
10.1109/CCAA.2015.7148557
Filename :
7148557
Link To Document :
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