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Image compression

Known as: Compression 
The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an… 
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Related topics

Related topics

50 relations
Anil K. Jain (electrical engineer, born 1946)BlackfinChain codeChroma subsampling

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Iris image compression using wavelets transform coding
Iris recognition system for identity authentication and verification is one of the most precise and accepted biometrics in the… 
2014
2014
A New Approach in Digital Image Compression Using Unequal Error Protection (UEP)
This paper proposes a new algorithms for compression of digital images especially at the encoding stage of compressive sensing… 
2007
2007
Off-line Omni-style Handwriting Arabic Character Recognition System Based on Wavelet Compression
The device has a winding drum with thread guide and a rotatable disc having pins for successively moving yarn coils from the drum… 
Highly Cited
2006
Highly Cited
2006
A new edge detection approach based on image context analysis
2005
2005
Block artifact reduction using a transform-domain Markov random field model
  • Zhen LiE. Delp
  • IEEE transactions on circuits and systems for…
  • 2005
  • Corpus ID: 20412750
The block-based discrete cosine transform (BDCT) is often used in image and video coding. It may introduce block artifacts at low… 
2004
2004
Human Visual System Models in Digital Image Watermarking
In this paper some Human Visual System (HVS) models used in digital image watermarking are presented. Four different HVS models… 
2002
2002
Performance comparison of masking models based on a new psychovisual test method with natural scenery stimuli
Review
2001
Review
2001
A Tutorial on Modern Lossy Wavelet Image Compression:of JPEG 2000
Review
2000
Review
2000
Survey of random neural network applications
Highly Cited
1993
Highly Cited
1993
Reduction of coding artifacts in transform image coding
The problem of image decompression is cast as an ill-posed inverse problem, and a stochastic regularization technique is used to… 
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