The Curvelet Transform on Function Spaces


Download PDF

Authors: D. LHAMU, S. K. SINGH, A. KUMAR AND C. P. PANDEY

DOI: 10.46793/KgJMat2606.941L

Abstract:

In this paper, we delve into the comprehensive exploration of the continuous curvelet transform (CCT), an advanced iteration of the continuous wavelet transform. Renowned for its applications in diverse mathematical realms such as signal analysis, image processing, and seismic exploration, the CCT holds significant promise. Our focus is on an in-depth examination of the CCT’s properties within function spaces, i.e., in Sobolev spaces Hs(2), Wm,p(2), the weighted Sobolev space Wκm,p(2), the generalized Sobolev space Hwω(2), Besov space Bpα,q(2), weighted Besov space Bp,κα,q(2), Hardy space Hp(2) and BMO(2) space. Through investigation, we uncover valuable insights into the continuity and boundedness of the CCT within these function spaces.



Keywords:

Curvelet transform, Sobolev space, Besov space, Hardy space, BMO space.



References:

[1]   E. J. Candès and D. L. Donoho, Continuous curvelet transform I. Resolution of the wavefront set, Appl. Comput. Harmon. Anal. 19(2) (2005), 162–197. https://doi.org/10.1016/j.acha.2005.02.003

[2]   E. J. Candès and D. L. Donoho, Continuous curvelet transform II. Discretization and frames, Appl. Comput. Harmon. Anal. 19(2) (2005), 198–222. https://doi.org/10.1016/j.acha.2005.02.004

[3]   J-L. Starck, E. J. Candés and D. L. Donoho. The curvelet transform for image denoising, IEEE Trans. Image Process. 11(6) (2002), 670–684. https://doi.org/10.1109/TIP.2002.1014998

[4]   J-L. Starck, D. L. Donoho and E. J. Candés. Astronomical image representation by the curvelet transform. Astronomy & Astrophysics 398(2) (2003), 785–800. https://doi.org/10.1051/0004-6361:20021571.

[5]   J. L. Starck, F. Murtagh, E. J. Candés and D. L. Donoho. Gray and color image contrast enhancement by the curvelet transform, IEEE Trans. Image Process. 12(6) (2003), 706–717. https://doi.org/10.1109/TIP.2003.813140

[6]   M. Choi, R. Y. Kim, M. R. Nam and H. O. Kim. Fusion of multispectral and panchromatic satellite images using the curvelet transform, IEEE Geoscience and Remote Sensing Letters 2(2) (2005), 136–140. https://doi.org/10.1109/LGRS.2005.845313

[7]   F. Nencini, A. Garzelli, S. Baronti and L. Alparone Remote sensing image fusion using the curvelet transform, Inf. Fusion 8(2) (2007), 143–156. https://doi.org/10.1016/j.inffus.2006.02.001

[8]   S. E. Jero, P. Ramu and S. Ramakrishnan. ECG steganography using curvelet transform, Biomedical Signal Processing and Control 22 (2015), 161–169. https://doi.org/10.1016/j.bspc.2015.07.004

[9]   L. Dong, Q. Yang, H. Wu and H. Xiao, High quality multi-spectral and panchromatic image fusion technologies based on curvelet transform, Neurocomputing 159 (2015), 268–274. https://doi.org/10.1016/j.neucom.2015.01.050

[10]   B, Singh and M. K. Sharma, Watermarking technique for document images using discrete curvelet transform and discrete cosine transform, Multimedia Tools and Applications (2024), 1–25. https://doi.org/10.1007/s11042-024-18770-3

[11]   S. M. Rajendran and R. Roopkumar, Curvelet transform on tempered Boehmians, Integration 3(4) (2012), 365–380.

[12]   S. M. Rajendran and R. Rajakumar, Curvelet transform for Boehmians, Arab. J. Math. Sci. 20(2) (2014), 264–279. https://doi.org/10.1016/j.ajmsc.2013.10.001

[13]   S. M. Rajendran and R. Roopkumar, Curvelet transform on tempered distributions, Asian-Eur. J. Math. 8(2) (2015), Article ID 1550031. https://doi.org/10.1142/S179355711550031X

[14]   S. M. Rajendran and R. Roopkumar, Curvelet transform on periodic distributions, Integral Transforms Spec. Funct. 25(1) (2014), 874–887. https://doi.org/10.1080/10652469.2014.938237

[15]   L. Akila and R. Roopkumar, Quaternionic curvelet transform, Optik 131 (2017), 255–266. https://doi.org/10.1016/j.ijleo.2016.11.011

[16]   A. Y. Tantary and F. A. Shah, An intertwining of curvelet and linear canonical transforms, J. Math. (2020), 1–14, Article ID 8814998. https://doi.org/10.1155/2020/8814998

[17]   A. A. Khan and K. Ravikumar, Linear canonical curvelet transform and the associated Heisenberg-type inequalities, Int. J. Geom. Methods Mod. Phys. 18(7) (2021), Article ID 2150100. https://doi.org/10.1142/S0219887821501000

[18]   A. A. Khan, Some inequalities for linear canonical curvelet transform, International Journal of Nonlinear Analysis and Applications 14(1) (2023), 2361–2372.

[19]   A. A. Khan, Quaternion linear canonical curvelet transform, Palest. J. Math. 12(1) (2023), 645–660.

[20]   V. Catanǎ and M-G. Scumpu, Localization operators and wavelet multipliers involving two-dimensional linear canonical curvelet transform, Pseudo-Differ. Oper. Appl. 14(4) (2023), Article ID 53. https://doi.org/10.1007/s11868-023-00547-1

[21]   J-L. Starck, Y. Moudden, P. Abrial and M. Nguyen, Wavelets, ridgelets and curvelets on the sphere, Astronomy & Astrophysics 446(3) (2006), 1191–1204. https://doi.org/10.1051/0004-6361:20053246

[22]   J. Y. Chan, B.Leistedt, T. D. Kitching and J. D. McEwen, Second-generation curvelets on the sphere, IEEE Trans. Signal Process 65(1) (2016), 5–14. https://doi.org/10.1109/TSP.2016.2600506

[23]   D. Sharma, K. Goyal and R. K. Singla, A curvelet method for numerical solution of partial differential equations, Appl. Numer. Math. 148 (2020), 28–44. https://doi.org/10.1016/j.apnum.2019.08.029

[24]   D. Lhamu and S. K. Singh, The quaternion Fourier and wavelet transforms on spaces of functions and distributions, Res. Math. Sci. 7(2020), 1–15. https://doi.org/10.1007/s40687-020-00209-4

[25]   G. Björck, Linear partial differential operators and generalized distributions, Ark. Mat. 6 (1966), 351–407. https://doi.org/10.1007/BF02590963

[26]   R. S. Pathak, The Wavelet Transform, Atlantis Press/World Scientific, France, 2009.

[27]   S. K. Singh, and B. Kalita, The S-transform on Sobolev spaces, Journal of Analysis & Number Theory 4(2) (2016), 125–131. https://doi:10.18576/jant/040207

[28]   R. S. Pathak, Wavelets in a generalized Sobolev space, Comput. Math. Appl. 49 (2005), 823–839. https://doi.org/10.1016/j.camwa.2004.07.021

[29]   N. M. Chuong and D. V. Duong, Boundedness of the wavelet Integral operator on weighted function spaces, Russ. J. Math. Phys. 20(2) (2013), 268–275. https://doi.org/10.1134/S1061920813030023

[30]   S. Kumar, Singh and B. Kalita, The S-transform on Hardy spaces and its duals, International Journal of Analysis and Applications 7(2) (2015), 171–178.

[31]   D. Lhamu and S. K. Singh, Besov norms of the continuous wavelet transform in variable Lebesgue space, J. Pseudo-Differ. Oper. Appl. 11(4) (2020), 1537–1548. https://doi.org/10.1007/s11868-020-00361-z

[32]   A. Pathak and S. Pandey, Besov type spaces associated with Lebedev-Skalskaya wavelet transform, Math. Methods Appl. Sci. 46(14) (2023), 15626–15640. https://doi.org/10.1002/mma.9416

[33]   H. Q. Bui, Weighted Young’s inequality and convolution theorems on weighted Besov spaces, Math. Nachr. 170(1) (1994), 25–37. https://doi.org/10.1002/mana.19941700104

[34]   B. Kalita and S. K. Singh, The fractional S-transform on BMO and Hardy spaces, Investigations in Mathematics Learning 5(1) (2015), 113–122.

[35]   R. S. Pathak, A Course in Distribution Theory and Applications, Narosa Publishing House, New Delhi, India, 2001.

[36]   L. Hörmander, The Analysis of Linear Partial Differential Operators II, Springer-Verlag, Berlin Heidelberg, New York, 1983. https://doi.org/10.1007/978-3-642-96750-4

[37]   A. Kumar, S. K. Singh and S. K. Singh, A note on Moritoh transforms, Creat. Math. Inform. 33(2) (2024), 185–201. https://doi.org/10.37193/CMI.2024.02.05