Image fusion is a sub field of image processing in which more than one images are fused to create an image where all the objects are in focus. The process of image fusion is performed for multi-sensor and multi-focus images of the same scene. Multi-sensor images of the same scene are captured by different sensors whereas multi-focus images are captured by the same sensor. In multi-focus images, the objects in the scene which are closer to the camera are in focus and the farther objects get blurred. Contrary to it, when the farther objects are focused then closer objects get blurred in the image. To achieve an image where all the objects are in focus, the process of images fusion is performed either in spatial domain or in transformed domain. In recent times, the applications of image processing have grown immensely. Usually due to limited depth of field of optical lenses especially with greater focal length, it becomes impossible to obtain an image where all the objects are in focus. Thus it plays an important role to perform other tasks of image processing such as image segmentation, edge detection, stereo matching and image enhancement. Hence, a novel feature-level multi-focus image fusion technique has been proposed which fuses multi-focus images. Thus the results of extensive experimentation performed to highlight the efficiency and utility of the proposed technique is presented. Â The proposed work further explores comparison between fuzzy based image fusion and neuro fuzzy fusion technique along with quality evaluation indices.
Published by | Institute of Advanced Engineering and Science |
Journal Name | International Journal of Informatics and Communication Technology (IJ-ICT) |
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Location | Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA |
Website | IJICT| http://ijict.iaescore.com/index.php/IJICT| |
ISSN | ISSN : 22528776, EISSN : 27222616, DOI : -, |
Core Subject | Science, |
Meta Subject | Computer Science & IT, |
Meta Desc | International Journal of Informatics and Communication Technology (IJ-ICT) is a common platform for publishing quality research paper as well as other intellectual outputs. This Journal is published by Institute of Advanced Engineering and Science (IAES) whose aims is to promote the dissemination of scientific knowledge and technology on the Information and Communication Technology areas, in front of international audience of scientific community, to encourage the progress and innovation of the technology for human life and also to be a best platform for proliferation of ideas and thought for all scientists, regardless of their locations or nationalities. The journal covers all areas of Informatics and Communication Technology (ICT) focuses on integrating hardware and software solutions for the storage, retrieval, sharing and manipulation management, analysis, visualization, interpretation and it applications for human services programs and practices, publishing refereed original research articles and technical notes. It is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in ICT. |
Penulis | Praveena, S. Mary , Kanmani, R. , Kavitha, A. K. |
Publisher Article | Institute of Advanced Engineering and Science |
Subtitle Article | International Journal of Informatics and Communication Technology (IJ-ICT) Vol 9, No 3: December 2020 |
Scholar Google | http://scholar.google.com/scholar?q=%2Bintitle%3A&… |
View Article | http://ijict.iaescore.com/inde… |
DOI | https://doi.org/10.11591/ijict.v9i3… |
DOI Number | DOI: 10.11591/ijict.v9i3.pp195-204 |
Download Article [1] | http://ijict.iaescore.com/index.php/IJIC… |
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Informasi yang terkait dengan A neuro fuzzy image fusion using block based feature level method
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