Title :
Super predictive-transform residual vector quantization
Author :
Feria, Erlan H. ; Rizvi, Syed A.
Author_Institution :
Dept. of Eng. Sci. & Phys., City Univ. of New York, NY, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
A superimposed (Super for short) minimum mean squared error (MMSE) predictive-transform (PT) residual vector quantization (RVQ) coder is introduced in this paper. The Super MMSE PT-RVQ coder arises as a straight forward generalization of a recently offered MMSE PT-RVQ coder and addresses in a simple and elegant fashion the noticeable blocking artifacts that are encountered with the MMSE PT-RVQ coder when operating at very low bit rates. The technique is illustrated by compressing five monochrome test images obtained from the JPEG suitcase at compression ratios as high as 229 to 1 or equivalently at bit rates as low as 0.035 bps. It is found that for all test images the Super PT-RVQ coder generally outperforms the perceptual quality and peak SNR derived with the Said and Pearlman wavelet algorithm
Keywords :
data compression; image coding; mean square error methods; vector quantisation; wavelet transforms; JPEG suitcase; blocking artifacts; coder; minimum mean squared error; peak SNR; perceptual quality; super predictive-transform residual vector quantization; wavelet algorithm; Bit rate; Constraint optimization; Decoding; Educational institutions; Geometry; Image coding; Physics; Testing; Transform coding; Vector quantization;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.821654
