Year: 2002
Type: conference-paper
Abstract: A block truncation coding (BTC) method employing a three-level image coding technique, is presented and studied. The method is applied to actual images and compared with other BTC techniques in terms of mean squared error (MSE), compression ratio, and processing time. This comparison is based on a 4*4 block size with pixel values ranging from 0-255 (8 b/pixel). The method compares favorably with other BTC image coding methods in terms of MSE and speed of execution, but it has a lower compression ratio.>
Source: IEEE SoutheastCon
Authors: Y.A. Alsaka, D.A. Lee
Institution: University of Central Florida
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2197945863