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A multiscale hybrid linear model for lossy image representation
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
This paper introduces a simple and efficient representation for natural images. We partition an image into blocks and treat the blocks as vectors in a high-dimensional space. We then fit a piece-wise linear model (i.e. a union of affine subspaces) to the vectors at each down-sampling scale. We call this a multi-scale hybrid linear model of the image. The hybrid and hierarchical structure of this model allows us effectively to extract and exploit multi-modal correlations among the imagery datadoi:10.1109/iccv.2005.12 dblp:conf/iccv/HongWHM05 fatcat:sc5hcfe73vdunibzw5my4743xi