Summary: To appear in: IEEE Transactions on Image Processing, 1999
Fast Adaptive Wavelet Packet Image Compression
Franc›ois G. Meyer, Yale University, New Haven, USA
Amir Averbuch, Tel Aviv University, Tel Aviv, Israel
Jan­Olov Str ˜
omberg, Royal Institute of Technology, Stockholm, Sweden
Corresponding author:
Francois G. Meyer
Yale University School of Medicine, Department of Diagnostic Radiology
333 Cedar Street, P.O. Box 208042, New Haven, CT 06520­8042, USA
tel:(203) 737 6037, fax:(203) 737 4273, e­mail: francois.meyer@yale.edu
EDICS Category: IP 1.1 Coding
Abstract
Wavelets are ill suited to represent oscillatory patterns: rapid variations of intensity can only
be described by the small scale wavelet coefficients. These diffused coefficients carry very little
energy, and are often quantized to zero, even at high bit rates. Our goal in this paper is to provide
a fast numerical implementation of the best wavelet packet algorithm [8] in order to demonstrate
that an advantage can be gained by constructing a basis adapted to a target image. Emphasis
in this paper has been placed on developing algorithms that are computationally efficient. We
developed a new fast 2­D convolution­decimation algorithm with factorized non­separable 2­D

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

Collections: Computer Technologies and Information Sciences