
pmid: 15648861
Image mosaicing is the act of combining two or more images and is used in many applications in computer vision, image processing, and computer graphics. It aims to combine images such that no obstructive boundaries exist around overlapped regions and to create a mosaic image that exhibits as little distortion as possible from the original images. In the proposed technique, the to-be-combined images are first projected into wavelet subspaces. The images projected into the same wavelet space are then blended. Our blending function is derived from an energy minimization model which balances the smoothness around the overlapped region and the fidelity of the blended image to the original images. Experiment results and subjective comparison with other methods are given.
Information Storage and Retrieval, Reproducibility of Results, Numerical Analysis, Computer-Assisted, Signal Processing, Computer-Assisted, Image Enhancement, Sensitivity and Specificity, Pattern Recognition, Automated, User-Computer Interface, Artificial Intelligence, Subtraction Technique, Image Interpretation, Computer-Assisted, Computer Graphics, Algorithms
Information Storage and Retrieval, Reproducibility of Results, Numerical Analysis, Computer-Assisted, Signal Processing, Computer-Assisted, Image Enhancement, Sensitivity and Specificity, Pattern Recognition, Automated, User-Computer Interface, Artificial Intelligence, Subtraction Technique, Image Interpretation, Computer-Assisted, Computer Graphics, Algorithms
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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