Panoramic View Creation using Image Processing

Abstract

The method of integrating many photographs with overlapping fields of view to create a segmented panorama or high-resolution image is known as image stitching or photo stitching. The term \"stitching\" refers to the process of utilising a computer to combine small images into a larger one, ideally without leaving any trace that it was produced artificially. Among the first and most popular in computer vision are algorithms for aligning images and creating seamless photomosaics. The high quality photomosaics utilised to construct today\'s digital maps and satellite images are made using image stitching algorithms. They may be used to produce stunning extreme wide-angle panoramas and are included with the majority of digital cameras on the market and satellite imagery.

Introduction

I. INTRODUCTION

The method of combining photos with overlapped sections to create an image with a broad field of view and high resolution is known as image stitching. Image stitching is a common topic in photographic cartography, computer vision, image processing, and computer graphics nowadays since it plays such an important part in digital image processing.An image that has been well-stitched should be clear, have smooth edges, and have a high resolution. Feature matching, registration, and seam removal make up the bulk of the image stitching process.

III. APPLICATIONS

Using Image Stitching, we can create an image with a larger Field of View which covers all the blind spots behind a vehicle. This helps in better vision of the surroundings for the driver and results in a safer driving experience. The process will combine images on both sides of the vehicles to create a bigger image. Other applications of Image Stitching are satellite imagery. Satellites capture multiple images of their subjects which are then “stitched” together to create a complete image.

Conclusion

Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Using this technology, there will be a reduction in crashes and accidents occurring in vehicles and will promote to a safer driving environment.

References

[1] Adel, Ebtsam&Elmogy, Mohammed & El-Bakry, Hazem. (2014). Image Stitching based on Feature Extraction Techniques: A Survey. International Journal of Computer Applications. 99. 1-8. 10.5120/17374-7818. [2] Cuiyin Liu, Jishang Xu, Feng Wang, \"A Review of Keypoints’ Detection and Feature Description in Image Registration\", Scientific Programming, vol. 2021, Article ID 8509164, 25 pages, 2021. https://doi.org/10.1155/2021/8509164 [3] Wang, Z., Yang, Z. Review on image-stitching techniques. Multimedia Systems 26, 413–430 (2020). https://doi.org/10.1007/s00530-020-00651-y [4] S. A. K. Tareen and Z. Saleem, \"A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK,\" 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukkur, Pakistan, 2018, pp. 1-10, doi: 10.1109/ICOMET.2018.8346440.

Copyright

Copyright © 2023 Anmol Raju Deshmukh , Rishabh Rakesh Oswal , Dnyanesh Chandewar , Manisha Ambekar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.