TY - JOUR
AU - Macq, Benoit
AB - Nowadays, more and more images from every area need to be stored. If a lossless compression of the image is desired, the storage space requirements can still be enormous. The aim of this paper is to show how to store those images in such a way that a quick access AND a big storage capacity are available together. The tools used are a multi‐resolution entropy coding (the Haar transform and the Universal Variable Length Coder) combined with a hierarchical quantization (the slicing) of each resolution. The main idea is to have a small icon stored on a fast access media, instantly accessible, while the high resolution components are stored on mass media and are loaded only if needed. The total compression is lossless.
TI - Lossless hierarchical storage of images
JF - Transactions on Emerging Telecommunications Technologies (Electronic)
DO - 10.1002/ett.4460060307
DA - 1995-05-01
UR - https://www.deepdyve.com/lp/wiley/lossless-hierarchical-storage-of-images-QeGtg4b0xk
SP - 267
EP - 274
VL - 6
IS - 3
DP - DeepDyve
ER -