Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Electrical & Computer Engineering |
Creator |
Mathews, V. John |
Other Author |
Waite, Randall W.; Tran, Thao D. |
Title |
Predictive vector quantization of images using a constrained two-dimensional autoregressive predictor |
Date |
1987 |
Description |
A novel approach to image compression using vector quantization of linear (one-step) prediction errors is presented in this paper. In order to minimize the image reconstruction error, we choose the optimum predictor coefficients (in a least-squares sense) that satisfy the additional constraint that the energy of the impulse response function of the inverse reconstruction filter is bounded by a small constant C. Further, the code vectors are selected such that the reconstruction error is minimized, rather than the quantization noise for the prediction error sequences. Examples demonstrating the excellent quality of the reconstructed images using our approach at bit rates below 0.65 bit/pixel are presented. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
243 |
Last Page |
247 |
Language |
eng |
Bibliographic Citation |
Mathews, V. J., Waite, R. W., & Tran,T. D. (1987). Predictive vector quantization of images using a constrained 2-D autoregressive predictor. Proc. 20th Annual Asilomar Conf. Signals, Systems and Computers, 243-7. November 10-12. |
Rights Management |
(c) 1987 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
783,246 bytes |
Identifier |
ir-main,15128 |
ARK |
ark:/87278/s6d22fwq |
Setname |
ir_uspace |
ID |
703806 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6d22fwq |