78
Views
0
CrossRef citations to date
0
Altmetric
Articles

Improved edge-directed super resolution

, &
Pages 160-167 | Received 09 Sep 2015, Accepted 09 May 2016, Published online: 23 May 2016

References

  • He H, Siu W-C. Single image super-resolution using Gaussian process regression. In: Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR2011); 2011 Jun 20–25; Colorado, USA. p. 449–456.
  • Dai S, Han M, Xu W, et al. SoftCuts: a soft edge smoothness prior for color image superresolution. IEEE Trans. Image Process. 2009 May;18:969–981.
  • Sun J, Sun J, Xu Z, et al. Gradient profile prior and its applications in image super-resolution and enhancement. IEEE Trans. Image Process. 2011 Jun;20:1529–1542.
  • Gao X, Zhang K, Tao D, et al. Joint learning for single-image super-resolution via a coupled constraint. IEEE Trans. Image Process. 2012 Feb;21:469–480.
  • Yang J, Wright J, Huang TS, et al. Image super-resolution via sparse representation. IEEE Trans. Image Process. 2010 Nov;19:2861–2873.
  • Kim KI, Kwon Y. Single-image super-resolution using sparse regression and natural image prior. IEEE Trans. Pattern Anal. Mach. Intell. 2010 Jun;32:1127–1133.
  • Dong W, Zhang L, Shi G, et al. Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization. IEEE Trans. Image Process. 2011 Jul;20:1838–1857.
  • Zhuo H, Lam K-M. Eigentransformation-based face superresolution in the wavelet domain. Pattern Recognit. Lett. 2012;33:718–727.
  • Hu Y, Lam K-M, Qiu G, et al. From local pixel structure to global image super-resolution: a new face hallucination framework. IEEE Trans. Image Process. 2011;20:433–445.10.1109/TIP.2010.2063437
  • Marquina A, Osher SJ. Image super-resolution by TV regularization and Bregman iteration. J. Sci. Comput. 2008;37:367–382.10.1007/s10915-008-9214-8
  • Protter M, Elad M. Super resolution with probabilistic motion estimation. IEEE Trans. Image Process. 2009 Aug;18:1899–1904.10.1109/TIP.2009.2022440
  • Protter M, Elad M, Takeda H, et al. Generalizing the nonlocal-means to super-resolution reconstruction. IEEE Trans. Image Process. 2009 Jan;18:36–51.10.1109/TIP.2008.2008067
  • Takeda H, Milanfar P, Protter M, et al. Super-resolution without explicit subpixel motion estimation. IEEE Trans. Image Process. 2009 Sep;18:1958–1975.10.1109/TIP.2009.2023703
  • Zhuo Y, Liu J, Ren J, et al. Nonlocal based super resolution with rotation invariance and search window relocation. In: Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP 2012); 2012 Mar 25–30; Kyoto, Japan. p. 853–856.
  • Hung K-W, Siu W-C. New motion compensation model via frequency classification for fast video super-resolution. In: Proc. IEEE Int. Conf. Image Processing (ICIP 2009); 2009 Nov 7–11; Cairo, Egypt. p. 1193–1196.
  • Aly HA, Dubois E. Image up-sampling using total-variation regularization with a new observation model. IEEE Trans. Image Process. 2005 Oct;14:1647–1659.
  • Blu T, Thévenaz P, Unser M. Linear interpolation revitalized. IEEE Trans. Image Process. 2004 May;13:710–719.10.1109/TIP.2004.826093
  • Wang Q, Ward RK. A new orientation-adaptive interpolation method. IEEE Trans. Image Process. 2007 Apr;16:889–900.
  • Yang S, Kim Y, Jeong J. Fine edge-preserving technique for display devices. IEEE Trans. Consum. Electron. 2008 Nov;54:1761–1769.
  • Hong KP, Paik JK, Kim HJ, et al. An edge-preserving image interpolation system for a digital camcorder. IEEE Trans. Consum. Electron. 1996 Aug;42:279–284.10.1109/30.536121
  • Chena MJ, Huang CH, Lee WL. A fast edge-oriented algorithm for image interpolation. Image Vision Comput. 2005;23:791–798.10.1016/j.imavis.2005.05.005
  • Li M, Nguyen TQ. Markov random field model-based edge-directed image interpolation. IEEE Trans. Image Process. 2008 Jul;17:1121–1128.
  • Zhang L, Xiaolin W. An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans. Image Process. 2006 Aug;15:2226–2238.10.1109/TIP.2006.877407
  • Shi G, Dong W, Wu X, et al. Context-based adaptive image resolution upconversion. J. Electron. Imag. 2010 Jan–Mar;19:013008.10.1117/1.3327934
  • Sobel I. An isotropic 3×3 gradient operator. Machine vision for three-dimensional scenes II. Cambridge, NY: Freeman, H., Academic Press; 1990. p. 376–379.
  • Yu X, Morse B, Sederberg TW. Image reconstruction using data-dependent triangulation. IEEE Comput. Graphics Appl. 2001;21:62–68.
  • Lan YC. Adaptive digital zoom techniques based on hypothesized boundary [ master thesis]. National Taiwan Univ.; 1999.
  • Oppenheim AV, Schafer RW, Burk JR. Discrete-time signal processing. Englewood Cliffs (NJ): Prentice-Hall; 1989.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.