Title :
An SVD Based Transform for Critical Representation of Laplacian Pyramids
Author :
Rath, Gerhard ; Guillemot, Christine
Author_Institution :
IRISA-INRIA, Rennes, France
Abstract :
Recently the Laplacian pyramid (LP) has come to prominence as a tool for obtaining spatial scalability in the context of scalable image and video compression. In this paper, we present a critical representation scheme for the LP. The representation is obtained by transforming the detail signals to lower dimensional representations. Unlike the wavelet transform, the proposed transform depends on the decimation and the interpolation filters used for the classical LP. Simulation results suggest that higher compression ratios can be achieved with the critical representation than with the standard LP with usual or frame based reconstructions.
Keywords :
Laplace transforms; data compression; filtering theory; image representation; singular value decomposition; video coding; Laplacian pyramid; SVD based transform; critical representation scheme; interpolation filter; singular value decomposition; video compression; Filters; Image coding; Image reconstruction; Interpolation; Laplace equations; Redundancy; Scalability; Signal resolution; Video compression; Wavelet transforms; Laplacian pyramid; scalable image/video coding; singular value decomposition;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312684