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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Performance Analysis of Optimized Image Fusion Algorithm for WSN using Raspberry Pi |
| Authors Name: | H.REKHA , P.SAMUNDISWARY |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_193712
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| Published Paper Id: | IJNRD2305079 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | —In recent years, the accessibility of low price hardware units like CMOS cameras and tiny microphones has contributed Wireless Multimedia Sensor Networks (WMSNs) in various applications. However, the effectiveness of sensor devices for real time image based applications are strictly inhibited by energy, bandwidth, storage space and processing capability. Therefore, to transmit the details of all the captured images with less energy and bandwidth consumption, a technique called image fusion is utilized. Here, the selection of image fusion algorithm is mainly depends on the user requirement and type of image based application. Most of the existing image fusion algorithms which are proved and recommended for WMSN are based upon their software simulated results only. Also, those types of algorithms are confined to few fields and not suitable for all WMSN based applications. Therefore, it is essential to develop an efficient image fusion algorithm which should be examined through software and hardware simulation and also satisfy all the requirements of WMSN. In this research, a simple image fusion technique which combines the optimized histogram based multithresholding and double density wavelet is considered for fusing the noisy image sets. Then, the effectiveness of the proposed image fusion is analysed and evaluated through the MATLAB software and Raspberry Pi hardware simulation. It is verified through the evaluation results that the proposed optimized image fusion technique has reduced the computation time and energy consumption effectively without image degradation |
| Keywords: | Double Density Wavelets,Image Denoising,Image Fusion, Multi-Thresholding, Optimization |
| Cite Article: | "Performance Analysis of Optimized Image Fusion Algorithm for WSN using Raspberry Pi", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.a643-a647, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305079.pdf |
| Downloads: | 000118753 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305079 Registration ID: 193712 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: a643-a647 Country: REDDIYARPALAYAM, PONDICHERRY, INDIA Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305079 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305079 |
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ISSN: 2456-4184
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