A Nobel Approach to Retrieveactual Image from a Compressedoneby using Dequantisation Technique

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H Sunil
H Sunil
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Dr. Sharanabasaweshwar G Hiremath
Dr. Sharanabasaweshwar G Hiremath

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A Nobel Approach to Retrieveactual Image from a Compressedoneby using Dequantisation Technique

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References

21 Cites in Article
  1. D Lusting,J Pauly (2007). Sparse MRI: the application of compressed sensing for MR imaging.
  2. S Ma,W Yin,Y Zhang,A (2008). Chakra borty, An efficient algorithm for compressed MR imaging using total variation and wavelets.
  3. J Yang,Y Zhang,W Yin (2010). A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data.
  4. D Bay (1983). Applications of the method of multipliers to variation inequalities.
  5. Patrick Combettes,Valérie Wajs (2008). Signal Recovery by Proximal Forward-Backward Splitting.
  6. Z Baharav,D Malah,E Karnin (1993). Hierarchical interpretation of fractal image coding and its applications to fast decoding.
  7. P Suapang,K Dejhan,S Yimmun (2010). A web-based DICOM-format image archive, medical image compression and DICOM viewer system for teleradiology application.
  8. M Ansari,R Anand (2008). Context based medical image compression with application to ultrasound images.
  9. A Rufai,G Anbarjafari,H Demirel (2013). Lossy medical image compression using Huffman coding and singular value decomposition.
  10. Sridharan Bhavani,Kepanna Thanushkodi (2013). Comparison of fractal coding methods for medical image compression.
  11. C Dhaarani,D Venugopal,A Raja (2014). Medical Image Compression Using Ripplet Transform.
  12. S Chandra,W Hsu (2014). Lossless Medical Image Compression in a Block-Based Storage System.
  13. M Ukrit,G Suresh (1126). Effective lossless compression for medical image sequences using composite algorithm.
  14. Raffaele Pizzolante,Bruno Carpentieri,Arcangelo Castiglione (2013). A Secure Low Complexity Approach for Compression and Transmission of 3-D Medical Images.
  15. P Kumari,K Thanushkodi (2013). A secure fast 2D -Discrete fractional fourier transform based medical image compression using hybrid encoding technique.
  16. R Shah,P Sharma,R Shah (2014). Performance Analysis of Region of Interest Based Compression Method for Medical Images.
  17. R Khan,M Talha,A Khattak,M Qasim (2013). Realization of Balanced Contrast Limited Adaptive Histogram Equalization (B-CLAHE) for Adaptive Dynamic Range Compression of real time medical images.
  18. N Nagaraj (2003). A very low-complexity multi-resolution prediction-based wavelet transform method for medical image compression.
  19. P Suapang,K Dejhan,S Yimmun (2010). A web-based DICOM-format image archive, medical image compression and DICOM viewer system for teleradiology application.
  20. M Ansari,R Anand (2008). Context based medical image compression with application to ultrasound images.
  21. S Martucea Symmetric convolution and the discrete sine and cosinetransform.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

H Sunil. 2015. \u201cA Nobel Approach to Retrieveactual Image from a Compressedoneby using Dequantisation Technique\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-F Classification: I.3.3, I.3.2
Version of record

v1.2

Issue date

July 15, 2015

Language
en
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A Nobel Approach to Retrieveactual Image from a Compressedoneby using Dequantisation Technique

H Sunil
H Sunil
Dr. Sharanabasaweshwar G Hiremath
Dr. Sharanabasaweshwar G Hiremath

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