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Set redundancy compression

Known as: SRC 
In computer science and information theory, set redundancy compression are methods of data compression that exploits redundancy between individual… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Aiming at solving the difficulty of modeling on spatial coherence, complete feature extraction, and sparse representation in… Expand
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2017
2017
Scene classification plays an important role in the intelligent processing of High-Resolution Satellite (HRS) remotely sensed… Expand
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Highly Cited
2013
Highly Cited
2013
Applications of sparse signal representation in image processing and pattern recognition have attracted a great deal of attention… Expand
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2012
2012
Document image information systems are used more and more in government. Much redundant information in the document existed in… Expand
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2012
2012
Medical imaging applications produce a huge amount of similar images. Instead of compressing each image individually, set… Expand
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2011
2011
Much redundant information between document pages exists in the document image information system.The research on the compression… Expand
2006
2006
Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space… Expand
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2006
2006
Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space… Expand
Highly Cited
1998
Highly Cited
1998
Similar images are images with common features, similar pixel distributions, and similar edge distributions. Fields such as… Expand
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1997
1997
Summary form only given. Image compression is achieved by eliminating various types of redundancy that exist in the pixel values… Expand