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.

Group picture PhD Shaoguang

Group for Artificial Intelligence and Sparse Modelling

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