SIFT and RANSAC-Based Image Mosaic Algorithm for Image Compression

Intensive research has been done on image mosaic algorithms to improve the field of view through generated image mosaics. The current imagery software packages used are computationally intensive to be used in real-time applications and are not economically affordable. Therefore, we have proposed an...

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Bibliographic Details
Published in2022 International Conference on Smart Applications, Communications and Networking (SmartNets) pp. 1 - 5
Main Authors Lungisani, Bose A., Lebekwe, Casper K., Zungeru, Adamu M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.11.2022
Subjects
Computational efficiency
Current measurement
Image coding
image mosaicing
mosaic
RANSAC
Real-time systems
SIFT
Software algorithms
Software measurement
Software packages
thresholding
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Summary:Intensive research has been done on image mosaic algorithms to improve the field of view through generated image mosaics. The current imagery software packages used are computationally intensive to be used in real-time applications and are not economically affordable. Therefore, we have proposed an improved SIFT algorithm, which was then evaluated with an open-source algorithm and commercial software using structural similarity index measure (SSIM) and mosaicing computational times for mosaic accuracy and processing efficiency, respectively. Our approach demonstrated a significant improvement of more than 10 % average on the mosaicing computational times for the five datasets used. Its mosaicing accuracy was found to be relatively within an acceptable range of above 90% averagely.
DOI:10.1109/SmartNets55823.2022.9994026