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ICIP
2008
IEEE
16 years 1 months ago
Image representation by compressed sensing
This paper addresses the image representation problem in visual sensor networks. We propose a new image representation scheme based on compressive sensing (CS) because compressive...
Bing Han, Feng Wu, Dapeng Wu
ISM
2008
IEEE
161views Multimedia» more  ISM 2008»
16 years 1 months ago
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding
Many popular image compression schemes are based on block-transform coding, a technique where images are broken into small blocks of pixels prior to transformation and compression...
Alexander Wong, William Bishop
VLDB
2005
ACM
118views Database» more  VLDB 2005»
16 years 9 days ago
Mining Compressed Frequent-Pattern Sets
A major challenge in frequent-pattern mining is the sheer size of its mining results. In many cases, a high min sup threshold may discover only commonsense patterns but a low one ...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
DKE
2007
105views more  DKE 2007»
15 years 6 months ago
On compressing frequent patterns
A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness m...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
TIP
2010
112views more  TIP 2010»
15 years 5 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce