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» An ACO algorithm for image compression
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ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Lossless image compression with tree coding of magnitude levels
With the rapid development of digital technology in consumer electronics, the demand to preserve raw image data for further editing or repeated compression is increasing. Traditio...
Hua Cai, Jiang Li
DCC
2008
IEEE
15 years 9 months ago
Object-Based Regions of Interest for Image Compression
A fully automated architecture for object-based region of interest (ROI) detection is proposed. ROI's are defined as regions containing user defined objects of interest, and ...
Sunhyoung Han, Nuno Vasconcelos
ICIP
2009
IEEE
14 years 7 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
TIP
1998
137views more  TIP 1998»
14 years 9 months ago
Blocking effect reduction of JPEG images by signal adaptive filtering
Abstract—A postprocessing algorithm is proposed to reduce the blocking artifacts of Joint Photographic Experts Group (JPEG) decompressed images. The reconstructed images from JPE...
Y. L. Lee, H. C. Kim, H. W. Park
SIGGRAPH
1998
ACM
15 years 1 months ago
Real Time Compression of Triangle Mesh Connectivity
In this paper we introduce a new compressed representation for the connectivity of a triangle mesh. We present local compression and decompression algorithms which are fast enough...
Stefan Gumhold, Wolfgang Straßer