We propose a novel retrieval method for fractal coded images in the compressed data domain. A fractal code is a contractive affine mapping that represents a similarity relation between two regions in an image. A fractal coded image consists of a set of these contractive mappings. Each mapping can be approximately represented by a vector spanning two regions. Therefore, a fractal coded image can be approximated as a set of vectors. By introducing a new similarity measure that reflects the difference of distribution and cardinality between two vector sets, a novel retrieval method for fractal coded images is realized. We also propose a new efficient retrieval method using upper bounds of the similarity measure. The effectiveness of the proposed method is also illustrated by various experiments. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Yokoyama, T., Watanabe, T., & Koga, H. (2005). Similarity-based retrieval method for fractal coded images in the compressed data domain. In Lecture Notes in Computer Science (Vol. 3568, pp. 385–394). Springer Verlag. https://doi.org/10.1007/11526346_42
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