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)
—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:
000118754
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
Facebook Twitter Instagram LinkedIn