Optimal hierarchical coding of quantized images

Optimal hierarchical coding is sought, for progressive or scalable image transmission, by minimizing the variance of the error difference between the original image and its lower resolution renditions. The optimal, according to the above criterion, pyramidal image coders are determined for images su...

Full description

Saved in:
Bibliographic Details
Published in:1996 IEEE International Conference on Image Processing Proceedings Vol. 1; pp. 581 - 584 vol.1
Main Authors: Strintzis, M.G., Tzovaras, D., Sevidikidis, T., Gioumousia, H.
Format: Conference Proceeding
Language:English
Published: IEEE 1996
Subjects:
Computer errors
Filter bank
Image analysis
Image coding
Image communication
Image resolution
Quantization
Signal resolution
Signal sampling
Statistical analysis
ISBN:9780780332591, 0780332598
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Optimal hierarchical coding is sought, for progressive or scalable image transmission, by minimizing the variance of the error difference between the original image and its lower resolution renditions. The optimal, according to the above criterion, pyramidal image coders are determined for images subject to corruption by quantization or transmission noise. Given arbitrary analysis filters and assuming adequate knowledge of the noise statistics, the optimal synthesis filters are found. The optimal analysis filters are subsequently determined, leading to formulas for globally optimal structures for pyramidal and subband image decompositions. Experimental results illustrate the implementation and performance of the optimal coders.
ISBN:9780780332591
0780332598
DOI:10.1109/ICIP.1996.559563