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A Novel Approach of Beam Surf Algorithm for View and Illumination Invariant Image Matching Based on Super-Resolution image Reconstruction

In this paper, we address a super-resolution Reconstruction problem of generating a high-resolution image from low-resolution images. The proposed superresolution method consists of three steps: image registration, singular value decomposition (SVD)-based image fusion and interpolation is a part of beam surf algorithm. The contribution of this work is two-fold. First we customize an image registration approach using Scale Invariant Feature Transform (SIFT), Beam surf, for superresolution. Second, we propose Beam Surf -based fusion to integrate the important features from the low-resolution images. The proposed image registration and fusion steps effectively maintain the important features and greatly improve the Reconstruction results. Results, for a variety of image examples, show that the proposed method successfully generates high-resolution images from lowresolution images.