Image Noise Cancellation by Lifting Filter Using Second Generation Wavelets (LFSGW)

Author

Jaiswal, Tushar ; Rajesh, Siddavatam

Author_Institution

CSE, Jaypee Univ. of Inf. Technol., Waknaghat, India

fYear

2009

fDate

27-28 Oct. 2009

Firstpage

667

Lastpage

671

Abstract

In this paper, we propose a novel second generation wavelets based lifting filter for image noise cancellation. The algorithm finds the most significant impulse noise points based on the values of their neighboring points, which are then used for noise cancellation. The algorithm works well for grayscale images and it has been compared with the adaptive filter with weight training mechanism method. The efficacy of the proposed lifting filter method has been shown and the results are gauged using PSNR measures.

Keywords

filtering theory; image processing; wavelet transforms; PSNR measures; grayscale image; image noise cancellation; second generation wavelets; wavelet based lifting filter; Adaptive filters; Gray-scale; Image edge detection; Image processing; Information filtering; Information filters; Information technology; Noise cancellation; PSNR; Pixel; Adaptive Filter; Image noise cancellation; Lifting filter; Second generation wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on

Conference_Location

Kottayam, Kerala

Print_ISBN

978-1-4244-5104-3

Electronic_ISBN

978-0-7695-3845-7

Type

conf

DOI

10.1109/ARTCom.2009.61

Filename

5329028