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Compression-based Image Registration
Bardera i Reig, Antoni; Feixas Feixas, Miquel; Boada, Imma; Sbert, Mateu
Image registration is an important component of image analysis used to align two or more images. In this paper, we present a new framework for image registration based on compression. The basic idea underlying our approach is the conjecture that two images are correctly registered when we can maximally compress one image given the information in the other. The contribution of this paper is twofold. First, we show that the image registration process can be dealt with from the perspective of a compression problem. Second, we demonstrate that the similarity metric, introduced by Li et al., performs well in image registration. Two different versions of the similarity metric have been used: the Kolmogorov version, computed using standard real-world compressors, and the Shannon version, calculated from an estimation of the entropy rate of the images
2010-11-07
Compressió d'imatges
Dades -- Compressió (Informàtica)
Imatges -- Processament
Data compression (Computer science)
Image compression
Image processing
Tots els drets reservats
Article
IEEE
         

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