Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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

Related topics

Related topics

3 relations
Computer scienceData compressionInformation theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images
Aiming at solving the difficulty of modeling on spatial coherence, complete feature extraction, and sparse representation in… Expand
  • figure 1
  • figure 3
  • table 1
  • table 2
  • table 3
Is this relevant?
2016
2016
Multi-Task Joint Sparse and Low-Rank Representation for the Scene Classification of High-Resolution Remote Sensing Image
Scene classification plays an important role in the intelligent processing of High-Resolution Satellite (HRS) remotely sensed… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2013
2013
Collaborative neighbor representation based classification using l2-minimization approach
Applications of sparse signal representation in image processing and pattern recognition have attracted a great deal of attention… Expand
  • figure 1
  • table 1
  • table 2
  • figure 2
  • table 3
Is this relevant?
2012
2012
Document Set Redundancy Compression Method Using Template Differential
Document image information systems are used more and more in government. Much redundant information in the document existed in… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
Is this relevant?
2012
2012
Similar images compression based on DCT pyramid multi-level low frequency template
Medical imaging applications produce a huge amount of similar images. Instead of compressing each image individually, set… Expand
  • figure 4
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2011
2011
Research on the Set Redundancy Compression of Document Image Based on Template Difference
Much redundant information between document pages exists in the document image information system.The research on the compression… Expand
Is this relevant?
2010
2010
Sparse representation based feature selection for mass spectrometry data
Mass spectrometry (MS) data has been widely analyzed for the detection of early stage cancers. Its potential for seeking… Expand
  • figure 1
  • figure 2
  • figure 3
  • table II
  • table I
Is this relevant?
2006
2006
A Comparison of Set Redundancy Compression Techniques
Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space… Expand
  • figure 1
  • figure 3
  • figure 5
  • figure 4
  • figure 2
Is this relevant?
1998
1998
The Centroid method for compressing sets of similar images
Similar images are images with common features, similar pixel distributions, and similar edge distributions. Fields such as… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 6
Is this relevant?
1997
1997
Image compression in medical image databases using set redundancy
Summary form only given. Image compression is achieved by eliminating various types of redundancy that exist in the pixel values… Expand
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE