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DCC
2010
IEEE
15 years 10 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
149
Voted
CVPR
2010
IEEE
15 years 1 months ago
Compression of surface registrations using Beltrami coefficients
Surface registration is widely used in machine vision and medical imaging, where 1-1 correspondences between surfaces are computed to study their variations. Surface maps are usua...
Lok Ming Lui, Tsz Wai Wong, Paul M. Thompson, Tony...
118
Voted
ICPPW
2002
IEEE
15 years 8 months ago
Data Distribution Schemes of Sparse Arrays on Distributed Memory Multicomputers
A data distribution scheme of sparse arrays on a distributed memory multicomputer, in general, is composed of three phases, data partition, data distribution, and data compression...
Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu
INFORMATICALT
2007
152views more  INFORMATICALT 2007»
15 years 3 months ago
On the Application of Invariant Image Parameters to Fractal Encoding of Bi-Level Images
Abstract. Fractal image compression is an engaging and worthwhile technology that may be successfully applied to still image coding, especially at high compression ratios. Unfortun...
Jonas Valantinas, Tomas Zumbakis
108
Voted
ICPR
2006
IEEE
16 years 4 months ago
A New Approach for Fractal Image Compression on a Virtual Hexagonal Structure
In this paper, we propose a Fractal Image Compression method on a virtual hexagonal image structure by adopting Fisher's basic method on the traditional square image structur...
Huaqing Wang, Qiang Wu, Tom Hintz, Xiangjian He