Title :
L∞-coding of images: a confidence interval criterion
Author :
Karray, Lamia ; Rioul, Olivier ; Duhamel, Pierre
Author_Institution :
CNET, Issy-les-Moulineaux, France
Abstract :
A new image coding technique using statistical properties of quantization errors and L∞-norm criterion is investigated. The original image is preprocessed, quantized, encoded and reconstructed within a given confidence interval. We focus on iterated filter banks as a preprocessing technique, and provide a comparison with linear prediction in the case of very good quality (almost lossless) image coding
Keywords :
band-pass filters; filtering theory; image coding; image reconstruction; linear predictive coding; quantisation (signal); statistical analysis; L∞-norm criterion; confidence interval criterion; image coding; image quality; image reconstruction; iterated filter banks; linear prediction; lossless image coding; preprocessing technique; quantization errors; statistical properties; Bit rate; Convergence; Dynamic range; Filter bank; Gaussian distribution; Image reconstruction; Interpolation; Nonlinear distortion; Quantization;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413483
