Title :
Two-dimensional encoding by finite-state encoders
Author :
Sheinwald, Dafna ; Lempel, Abraham ; Ziv, Jacob
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
fDate :
3/1/1990 12:00:00 AM
Abstract :
Distortion-free compressibility of individual pictures by finite-state encoders is investigated. In a recent paper (see IEEE Trans. Inform. Theory, vol.32, no.1, p.1-8, 1986) the compressibility of a given picture I was defined and shown to be the asymptotically attainable lower bound on the compression ratio that can be achieved for I by any finite-state encoder. Here, a different and more direct approach is taken to prove similar results, which are summarized in a converse-to-coding theorem and a constructive-coding-theorem that leads to a universal asymptotically optimal compression algorithm
Keywords :
data compression; encoding; picture processing; constructive-coding-theorem; converse-to-coding theorem; distortion free compressibility; finite-state encoders; individual pictures; two dimensional encoding; universal asymptotically optimal compression algorithm; Codes; Compression algorithms; Computer science; Conferences; Decoding; Encoding; Entropy; Helium; Image coding; Transducers;
Journal_Title :
Communications, IEEE Transactions on