ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Joint Bilateral Filtering based Non-local Means Image Denoising

Jith, Nirmal OU and Babu, Venkatesh R (2014) Joint Bilateral Filtering based Non-local Means Image Denoising. In: International Conference on Signal Processing and Communications (SPCOM), JUL 22-25, 2014, Banaglore, INDIA.

[img] PDF
Int_Con_Sig_Pro_Com_2014.pdf - Published Version
Restricted to Registered users only

Download (4MB) | Request a copy
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

This paper proposes a denoising algorithm which performs non-local means bilateral filtering. As existing literature suggests, non-local means (NLM) is one of the widely used denoising techniques, but has a critical drawback of smoothing of edges. In order to improve this, we perform fast and efficient NLM using Approximate Nearest Neighbour Fields and improve the edge content in denoising by formulating a joint-bilateral filter. Using the proposed joint bilateral, we are able to denoise smooth regions using the NLM approach and efficient edge reconstruction is obtained from the bilateral filter. Furthermore, to avoid tedious parameter selection, we carry out a noise estimation before performing joint bilateral filtering. The proposed approach is observed to perform well on high noise images.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords: Image denoising; Joint bilateral filter; Approximate Nearest Neighbors
Department/Centre: Division of Information Sciences > Supercomputer Education & Research Centre
Depositing User: Id for Latest eprints
Date Deposited: 30 Dec 2015 06:07
Last Modified: 30 Dec 2015 06:07
URI: http://eprints.iisc.ac.in/id/eprint/52977

Actions (login required)

View Item View Item