A Two-Stage Point Pattern Matching Algorithm Using Ellipse Fitting and Dual Hilbert Scans
IEICE - Transactions on Information and Systems
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An efficient method for visual data compression is presented which combines generalized Peano (1890) scan and a lapped orthogonal transform (LOT). The Peano scan, an application of the Peano curve to the scanning of images, is used locally to cluster highly correlated pixels. The new set of data is compressed using a LOT. The LOT is a tool for block transform coding with basis functions that overlap adjacent blocks. The blocking effect is reduced significantly by applying LOT. An adaptive procedure is developed to encode image blocks at low bit rates without any visible blocking effects. The compression method was tested on several images