Article ID Journal Published Year Pages File Type
10363495 Signal Processing: Image Communication 2012 12 Pages PDF
Abstract
► Scale Invariant Feature Transform, Belief Propagation and Random Sampling Consensus effectively eliminates the mismatch point. ► Singular Value Decomposition (SVD)-based fusion preserves the important features from the images. ► As a direct result of the registration improvement, the performance of super-resolution algorithm is significantly improved.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Preview
Singular value decomposition based fusion for super-resolution image reconstruction
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