Hierarchized block wise image approximation by greedy pursuit strategies
L Rebollo-Neira, R Macioł, S Bibi�- IEEE Signal Processing�…, 2013 - ieeexplore.ieee.org
L Rebollo-Neira, R Macioł, S Bibi
IEEE Signal Processing Letters, 2013•ieeexplore.ieee.orgAn approach for effective implementation of greedy selection methodologies, to approximate
an image partitioned into blocks, is proposed. The method is specially designed for
approximating partitions on a transformed image. It evolves by selecting, at each iteration
step, i) the elements for approximating each of the blocks partitioning the image and ii) the
hierarchized sequence in which the blocks are approximated to reach the required global
condition on sparsity.
an image partitioned into blocks, is proposed. The method is specially designed for
approximating partitions on a transformed image. It evolves by selecting, at each iteration
step, i) the elements for approximating each of the blocks partitioning the image and ii) the
hierarchized sequence in which the blocks are approximated to reach the required global
condition on sparsity.
An approach for effective implementation of greedy selection methodologies, to approximate an image partitioned into blocks, is proposed. The method is specially designed for approximating partitions on a transformed image. It evolves by selecting, at each iteration step, i) the elements for approximating each of the blocks partitioning the image and ii) the hierarchized sequence in which the blocks are approximated to reach the required global condition on sparsity.
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