This paper deals with the development of a coding system for image data compression based on the Discrete Cosine Transform (DCT). The aim is to integrate several methods into a single approach in order to obtain an adaptive coder characterized by higher performances. In particular, a variable blocksize scheme is used, which is based on quadtree segmentation driven by edge information. To improve data compression, DCT coefficients are then coded by a vector quantizer. Experiments have shown that the values of compression factors can be notably increased, while maintaining a good reconstruction quality. Copyright © 1992 John Wiley & Sons, Ltd.
Adaptive DCT for image data compression
De Natale, Francesco;
1992-01-01
Abstract
This paper deals with the development of a coding system for image data compression based on the Discrete Cosine Transform (DCT). The aim is to integrate several methods into a single approach in order to obtain an adaptive coder characterized by higher performances. In particular, a variable blocksize scheme is used, which is based on quadtree segmentation driven by edge information. To improve data compression, DCT coefficients are then coded by a vector quantizer. Experiments have shown that the values of compression factors can be notably increased, while maintaining a good reconstruction quality. Copyright © 1992 John Wiley & Sons, Ltd.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
