Title :
Low entropy image pyramids for efficient lossless coding
Author :
Houlding, David ; Vaisey, Jacques
Author_Institution :
MacDonald Dettweiler, Richmond, BC, Canada
fDate :
8/1/1995 12:00:00 AM
Abstract :
An efficient image source coding technique gives good compression performance at low computational complexity. This research introduces an efficient coding technique, based on pyramid coding, that involves transforming an image into an equivalent lower entropy form prior to lossless coding. The proposed method is also a multiresolution technique that facilitates progressive image transmission
Keywords :
computational complexity; entropy codes; image coding; interpolation; source coding; compression performance; computational complexity; decimation; efficient lossless coding; image source coding technique; interpolation; low entropy image pyramids; multiresolution technique; progressive image transmission; pyramid coding; Digital filters; Entropy; Filtering; Finite impulse response filter; Frequency; Image coding; Image reconstruction; Interpolation; Passband; Quantization;
Journal_Title :
Image Processing, IEEE Transactions on