Title :
Image data ordering and compression using Peano scan and LOT
Author :
Ansari, Ahmad ; Fineberg, Adam
Author_Institution :
Center for Comput. Aids for Ind. Productivity, Rutgers Univ., Piscataway, NJ, USA
fDate :
8/1/1992 12:00:00 AM
Abstract :
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
Keywords :
data compression; image coding; transforms; LOT; Peano curve; Peano scan; adaptive method; basis functions; block transform coding; blocking effect; image data blocking; image data compression; lapped orthogonal transform; low bit rates; visual data compression; Bit rate; Computer industry; Data compression; Filling; Hilbert space; Image coding; Image storage; Low pass filters; Pixel; Productivity;
Journal_Title :
Consumer Electronics, IEEE Transactions on
