Our paper featured on the front page of the Journal of Imaging

The paper from Izumi Ito and Aleksandra Pizurica, titled “Three-Dimensional Block Matching Using Orthonormal Tree-Structured Haar Transform for Multichannel Images”, is featured on the front page of the Journal of Imaging.

A three-dimensional orthonormal tree-structured Haar transform (3D-OTSHT) is proposed in this paper, targeting fast full search equivalent for three-dimensional block matching in multichannel images. The use of a three-dimensional integral image significantly saves time to obtain the 3D-OTSHT coefficients, and thus enables new applications of patch matching in multichannel images, which were not feasible before due to the prohibitive computational complexity.

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GAIM
Group for Artificial Intelligence and Sparse Modelling

GAIM’s research is at the intersection of machine learning, signal processing and information theory.