Image Stitching using RANSAC and Bayesian Refinement

When several pictures overlap, we can merge them into one high-resolution image which is called image stitching. To tackle this problem effectively within the images, SIFT algorithm that is robust to such noisy elements was used to identify the matching keypoints which eventually enhances the overall picture standards significantly - advancing panoramic photography as well as medical imaging alongside satellite imagery domains through improving their technical aspects vastly with potential practical use cases across various industries like healthcare, remote sensing or even general professional photography services too. Our proposed procedure shall subsequently undergo rigorous testing phases using varied datasets for efficiency analysis purposes towards validating its soundness while providing robust enough to handle all possible inputs thrown at it without faltering under any circumstances. The results of this project could have practical implications in industries such as healthcare, remote sensing, and photography.