Title :
Predictive ordering technique and feedback transform coding for data compression of still pictures
Author :
Neagoe, Victor-Emil I.
Author_Institution :
Fac. of Electron. & Telecommun., Polytech. Inst. of Bucharest, Romania
fDate :
2/1/1992 12:00:00 AM
Abstract :
A picture data compression method consisting of a hybrid cascade having four processing stages is presented. The processing stages are: predictive ordering technique (POT), feedback transform coding (FTC), vertical subtraction of quantized coefficients (VSQC), and predictive coding refinements in the signal space consisting of either overshoot suppression (OS) as a first variant or hybrid block truncation coding (HBTC) as a second one. Each of these stages is described, and reconstructed pictures are presented with their coding fidelity performances (mean square quantization error, mean absolute error and signal-to-noise ratio), using as test pictures a portrait and a LANDSAT image. It is shown that good quality images at low bit rates (0.55 to 1.1 bits/pixel) have been obtained
Keywords :
data compression; encoding; filtering and prediction theory; picture processing; coding fidelity performances; data compression; feedback transform coding; hybrid block truncation coding; hybrid cascade; image compression; mean absolute error; mean square quantization error; overshoot suppression; predictive coding refinements; predictive ordering technique; quantised coefficient vertical subtraction; reconstructed pictures; signal space; signal-to-noise ratio; still pictures; Data compression; Feedback; Image coding; Image reconstruction; Performance evaluation; Predictive coding; Quantization; Signal processing; Signal to noise ratio; Transform coding;
Journal_Title :
Communications, IEEE Transactions on
