Title :
Image Coding by Linear Transformation and Block Quantization
Author :
Habibi, Ali ; Wintz, Paul A.
Author_Institution :
Bell Telephone Labs., NJ
fDate :
2/1/1971 12:00:00 AM
Abstract :
The feasibility of coding two-dimensional data arrays by first performing a two-dimensional linear transformation on the data and then block quantizing the transformed data is investigated. The Fourier, Hadamard, and Karhunen-Loève transformations are considered. Theoretical results for Markov data and experimental results for four pictures comparing these transform methods to the standard method of raster scanning, sampling, and pulse-count modulation code are presented.
Keywords :
Bandwidth; Code standards; Error correction; Error correction codes; Fourier transforms; Image coding; Image reconstruction; Image sampling; Pulse modulation; Quantization;
Journal_Title :
Communication Technology, IEEE Transactions on
DOI :
10.1109/TCOM.1971.1090601