Seismic Data Compression using Wave Atom Transform

§ JNTUH HYDERABAD

Send Message

To: Author

Seismic Data Compression using Wave Atom Transform

Article Fingerprint

ReserarchID

CST2161X

Seismic Data Compression using Wave Atom Transform Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Seismic data compression (SDC) is crucially, confronted in the oil Industry with large data volumes and Incomplete data measurements. In this research, we present a comprehensive method of exploiting wave packets to perform seismic data compression .Wave atoms are the modern addition to the collection of mathematical transforms for harmonic computational analysis. Wave atoms are variant of 2D wavelet packets that keep an isotropic aspect ratio. Wave atoms have a spiky frequency localization that cannot be attained using a filter bank based on wavelet packets and offer a significantly sparser expansion for oscillatory functions than wavelets ,curvelets and Gabor atoms.

References

26 Cites in Article
  1. 1. R Gonzalez,R Woods Digital Image Processing. Digital Image Processing
  2. 2. Y Geng,R Wu,J Gao (2009). Dreamlet Transform applied to Seismic compression and its effects on migration. Dreamlet Transform applied to Seismic compression and its effects on migration, 3640-3644.
  3. 3. Huub Douma,Maarten De Hoop (2007). Leading-order seismic imaging using curvelets. Geophysics, 72(6), S231-S248.
  4. 4. R Clarke (1985). Transform Coding of images. Transform Coding of images
  5. 5. M Raghuveer,Ajit Rao,Bopardikar,J Shapiro (1993). Wavelet Transforms, Seismic Data Compression using Wave Atom Transform 6. IEEE Transactions on Signal Processing, 41(12), 3445-3462.
  6. 6. Emmanuel Candès,David Donoho (1999). Curvelets and Curvilinear Integrals. Journal of Approximation Theory, 113(1), 59-90.
  7. 7. David Taubman,Michael Marcellin (2001). JPEG. JPEG2000 Image Compression Fundamentals, Standards and Practice, 719-736.
  8. 8. (1999). Information technology. Coding of audio-visual objects. MPEG-4: Coding of moving pictures and audio
  9. 9. K Rao,P Yip (1990). Discrete Cosine Transform -Algorithms, Advantages and Applications. Discrete Cosine Transform -Algorithms, Advantages and Applications
  10. 10. D Salomon (2007). Data compression, the complete reference. Data compression, the complete reference
  11. 11. F,Friedrich Fhr,L Demaret (2006). Beyond wavelets: New image representation paradigms. Survey article in document and image compression, 179-206.
  12. 12. Emmanuel Candès,David Donoho (1999). Ridgelets: a key to higher-dimensional intermittency?. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 357(1760), 2495-2509.
  13. 13. E Candes,D Donoho (1999). Curvelets -A surprisingly effective nonadaptive representation for objects with edges, curves and surfaces , Curves and Surfaces. Curvelets -A surprisingly effective nonadaptive representation for objects with edges, curves and surfaces , Curves and Surfaces
  14. 14. L Demanet,L Ying (2007). Wave Atoms and Sparsity of Oscillatory Patterns. Appl. Comput. Harmon. Anal, 23(3), 368-387.
  15. 15. Stéphane Mallat (1999). Wavelet bases. A Wavelet Tour of Signal Processing, 220-320.
  16. 16. J-P Antoine,R Murenzi (1996). Two-dimensional directional wavelets and the scale-angle representation. Signal Processing, 52(3), 259-281.
  17. 17. I Selesnick,R Baraniuk,N Kingsbury (2005). The dual-tree complex wavelet transform. IEEE Signal Processing Magazine, 22(6), 123-151.
  18. 18. M Do,M Vetterli (2005). The contourlet Transform : An Efficient Directional Multiresolution Image Representation. IEEE Trans. Image Processing, 14(12), 2091-2106.
  19. 19. L Villemoes (2002). Wavelet Packets with Uniform Time-Frequency Localization. Comptes Rendus Math, 335(10), 793-796.
  20. 20. Anil Jain,Paul Farrelle,V Algazi (1984). Image Data Compression††Research supported in part by the Army Research Office, Durham, North Carolina, under grant DAAG29-78-0206 and in part by the Office of Naval Research through a Special Research Opportunity (SRO) project under contract N00014-81-K-0191. Digital Image Processing Techniques, 171-226.
  21. 21. E Candès,L Demanet,D Donoho,L Ying (2006). Fast discrete curvelet transforms. Multiscale Modeling and Simulation, 5, 861-899.
  22. 22. Ali Akansu (1994). Wavelets and filter banks. A signal processing perspective. IEEE Circuits and Devices Magazine, 10(6), 14-18.
  23. 23. Laurent Demanet,Lexing Ying (2000). Curvelets and wave atoms for mirror-extended images. SPIE Proceedings
  24. 24. Laurent Demanet,Lexing Ying (2008). Scattering in Flatland: Efficient Representations via Wave Atoms. Foundations of Computational Mathematics, 10(5), 569-613.
  25. 25. Patrick Le Callett,Florent Autrusseau (2005). Subjective quality assessment IRCCyN/IVC database. Subjective quality assessment IRCCyN/IVC database
  26. 26. D Chandler,S Hemami (2007). VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images. IEEE Transactions on Image Processing, 16(9), 2284-2298.

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

Subba Reddy Borra, G.Jagadeeswar Reddy, E.Sreenivasa Reddy. 2015. "Seismic Data Compression using Wave Atom Transform". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F1).

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
I.5.4
Version of record

v1.2

Issue date
June 4, 2015

Language
English
Order Article Reprint
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 3.1K
Total Downloads: 141
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Seismic Data Compression using Wave Atom Transform

Subba Borra
Subba Borra JNTUH HYDERABAD
G.Jagadeeswar Reddy
G.Jagadeeswar Reddy
E.Sreenivasa Reddy
E.Sreenivasa Reddy