Title :
Low-rate shape compression via an extension to the beamlet transform
Author :
He, Z. ; Bystrom, M.
Author_Institution :
ECE Dept., Boston Univ., Boston, MA, USA
Abstract :
Multiscale image representation and analysis techniques such as the beamlet framework have found significant applications in image processing, however, their approximation of arbitrary curves via linear basis functions may still present an obstacle to some applications. In this work we extend the beamlet dictionary to include arc basis functions for piecewise approximations to curves in an image. An application to low-rate compression of shape images is discussed and an increase in compression efficiency is shown over the JBIG2 and JBEAM methods.
Keywords :
array signal processing; data compression; image coding; image representation; wavelet transforms; JBEAM methods; JBIG2 methods; arbitrary curves; arc basis functions; beamlet dictionary; beamlet transform; image processing; image representation; linear basis functions; low-rate shape compression; piecewise approximations; shape images; Approximation methods; Dictionaries; Image coding; Image edge detection; Shape; Signal processing algorithms; Transforms;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6