A comparison Approach in Image Optimization Techniques
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2012, Vol 1, Issue 1
Abstract
The capturing of multiple low-resolution images taken of the same scene results in a distortion between each image. Image registration is the process of determining this distortion. In this paper, we examine the hypothesis that the visual quality of a reconstructed highresolution image improves when accurate image registration is achieved. Here picture images are registered using two algorithms. The first registration algorithm based on an optimization approach while the other is based on the RANSAC algorithm. We find that the optimization approach is severely hampered by higher degree transforms such as affine transforms. This is attributed to the increased number of parameters requiring optimizing. First algorithm involved reconstructing an image when perfect registration was achieved, and comparing the results to when the RANSAC algorithm was employed. The results suggested that the visual quality of the reconstructed images were higher for perfect registration. We also found that the visual quality of reconstructed images was higher when images were registered using the RANSAC algorithm, as compared to an optimization approach.
Authors and Affiliations
S. S. Panda, Arun Kumar Dash
Keywords
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