@article{f25b187cde5c48d3b3015ca3a1560aaf,
title = "Wavelet coefficients clustering using morphological operations and pruned quadtrees",
abstract = "Transform coding has been extensively applied in image compression. The wavelet transform possesses the characteristic of providing spatial and frequency domain information. This characteristic plays an important role in image compression so that identification and selection of the significant coefficients in the wavelet transform become easier. The result has the advantages of better compression ratio and better image quality. The paper presents a new approach to create an efficient clustering of the significant coefficients in the wavelet transform based on morphological operations and pruned quadtrees. In this way, only the significant coefficients and their map will be encoded and transmitted. The decoder process will use the map to place the significant coefficients in the correct locations and then apply the inverse wavelet transform to reconstruct the original image. Experimental results show that the combination of morphological operations and pruned quadtrees outperforms the conventional quadtrees by a compression ratio of 2 to 1 with the similar image quality.",
author = "Eduardo Morales and Shih, {Frank Y.}",
note = "Funding Information: About the Author —FRANK Y. SHIH received the B.S. degree from National Cheng-Kung University, Taiwan, in 1980, the M.S. degree from the State University of New York at Stony Brook, in 1984, and the Ph.D. degree from Purdue University, West Lafayette, Indiana, in 1987, all in electrical engineering. He is presently a professor jointly appointed in the Department of Computer and Information Science (CIS) and the Department of Electrical and Computer Engineering (ECE) at New Jersey Institute of Technology, Newark, New Jersey. He currently serves as an associate chairman of the CIS department and the director of Computer Vision Laboratory. Dr. Shih is on the Editorial Board of the International Journal of Systems Integration. He is also an associate editor of the International Journal of Information Sciences, and of the International Journal of Pattern Recognition. He has served as a member of several organizing committees for technical conferences and workshops. He was the recipient of the Research Initiation Award from the National Science Foundation in 1991. He was the recipient of the Winner of the International Pattern Recognition Society Award for Outstanding Paper Contribution. He has received several awards for distinguished research at New Jersey Institute of Technology. He has served several times in the Proposal Review Panel of the National Science Foundation on Computer Vision and Machine Intelligence. He holds the IEEE senior membership. Dr. Shih has published over 100 technical papers in well-known prestigious journals and conferences. His current research interests include image processing, computer vision, computer graphics, artificial intelligence, expert systems, robotics, computer architecture, fuzzy logic, and neural networks.",
year = "2000",
doi = "10.1016/S0031-3203(99)00147-8",
language = "English (US)",
volume = "33",
pages = "1611--1620",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "Elsevier Limited",
number = "10",
}