Multi-Sensor Image Fusion for Impulse Noise Reduction in Digital Images

hari kiran

Multi-Sensor Image Fusion for Impulse Noise Reduction in Digital Images

hari kiran * §

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Multi-Sensor Image Fusion for Impulse Noise Reduction in Digital Images

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Abstract

This paper introduces the concept of Multi-sensor image fusion technique for impulse noise reduction in digital images. Image fusion is the process of combining two or more images into a single image while retaining the important features of each image. Multiple sensor image fusion is an important technique used in military, remote sensing and medical applications. The images captured by five different sensors undergo filtering using five different vector median filtering algorithms and the filtered images are fused into a single image, which combines the uncorrupted pixels from each one of the filtered image. The fusion algorithm is based on quality assessment of the spatial domain from the individual de-noised images. The performance evaluation of our algorithm is evaluated using PSNR between original image and individually filtered and the fused image. Experimental results show that this fusion algorithm produce a high quality image compared to individually de-noised images.

References

10 Cites in Article

Reference Format

Tao Chen,Kai-Kaung Ma,Li-Hui Chen (1999). Tri-state median filter for image Denoising.
Reihard Berstein (1987). Adaptive nonlinear filters for simultaneous removal of different kinds of noise in images.
O Rockinger (1997). Image sequence fusion using ashift invariant wavelet transform.
Ramesh Chaveli,T Ranjith (2002). Fusion performance measures and a lifting wavelet transform based algorithm for image fusion.
S Indu,Chaveli Ramesh A noise fading technique for images corrupted with impulse noise.
J Astola,P Haavisto,Y Neuvo (1990). Vector median filters.
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Block Diagram of Multi Sensor Image Fusion.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

hari kiran. 1970. "Multi-Sensor Image Fusion for Impulse Noise Reduction in Digital Images". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 21).

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GJCST Volume 11 Issue 21

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Image Fusion image processing Image Restoration Impulse Noise

Classification

GJCST Classification I.4.3

Submission ReceivedSeptember 30, 2011
Peer Review Double Blind
Handling Editor
Accepted October 29, 2011
Published November 11, 2011

Version of record

v1.2

Issue date

December 27, 2011

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: M.Premakumar, N.Sowjanya, Dr.P.RajeshKumar (PhD/Dr. count: 1)

View Count (all-time): 212

Total Views (Real + Logic): 6502

Total Downloads (simulated): 417

Publish Date: 2011 11, Fri

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Total Views: 6.5K

Total Downloads: 417

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