Subband coding of images using binomial QMF and vector quantization

Author

• Kannan. Rajamani

Author Type

Graduate Student

Date of Award

1995

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Erdol, Nurgun

Abstract

This thesis presents an image coding system using binomial QMF based subband decomposition and vector quantisation. An attempt was made to compress a still image of size 256 x 256 represented at a resolution of 8 bits/pixel to a bit rate of 0.5 bits/pixel using 16 channel subband decomposition with binomial QMFs and coding the subbands using a full search LBG Vector Quantizer (VQ). Simulations were done on SUN work station and the quality of the image was evaluated by computing the Signal to Noise Ratio (SNR) between the original image and the reconstructed image.

Extent

79 p.

Comments

College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.)--Florida Atlantic University, 1995.|College of Engineering and Computer Science

Recommended Citation

Rajamani, Kannan., "Subband coding of images using binomial QMF and vector quantization" (1995). Electronic Theses and Dissertations 1990 - 1999. 844.
https://digitalcommons.fau.edu/etd_general_4/844

Identifier

FADT15203

Format

pdf