First-order derivative-based super-resolution

Signal, Image and Video Processing

Volumn 11, Issue 1, 2017, Pages 1-8

  Haris, Muhammad ^a   Widyanto, M Rahmat ^b   Nobuhara, Hajime ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b UNIVERSITY OF INDONESIA   (Indonesia)

Author keywords

Back projection; Edge direction; First derivatives; Interpolation; Super resolution

Indexed keywords

IMAGE CODING; INTERPOLATION; OPTICAL RESOLVING POWER; PIXELS;

BACK PROJECTION; EDGE DIRECTION; FIRST DERIVATIVE; LOW COMPUTATIONAL COMPLEXITY; PEAK SIGNAL TO NOISE RATIO; STATE-OF-THE-ART ALGORITHMS; SUPER RESOLUTION; SUPERRESOLUTION METHODS;

SIGNAL TO NOISE RATIO;

EID: 84960123700     PISSN: 18631703     EISSN: 18631711     Source Type: Journal    
DOI: 10.1007/s11760-016-0880-y     Document Type: Article

References (17)

1. Nuno-Maganda, M.A., Arias-Estrada, M.O.: Real-time fpga-based architecture for bicubic interpolation: an application for digital image scaling. In: International Conference on Reconfigurable Computing and FPGAs, 2005. ReConFig 2005, p. 8, 1 (Sept 2005)
2. Asuni, N., Giachetti, A.: Accuracy improvements and artifacts removal in edge based image interpolation. VISAPP (1)’08, pp. 58–65 (2008)
3. Liu, C., Sun, D.: A bayesian approach to adaptive video super resolution. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011, pp. 209–216. IEEE, (2011)
4. Takeda, H., Farsiu, S., Milanfar, P.: Kernel regression for image processing and reconstruction. IEEE Trans. Image Process. 16(2), 349–366 (2007)
5. Takeda, H., Milanfar, P., Protter, M., Elad, M.: Super-resolution without explicit subpixel motion estimation. IEEE Trans. Image Process. 18(9), 1958–1975 (2009)
6. Danielyan, A., Foi, A., Katkovnik, V., Egiazarian, K.: Image upsampling via spatially adaptive block-matching filtering. In: Signal Processing Conference, 2008 16th European, pp. 1–5. IEEE, (2008)
7. Yang, J., Wright, J., Huang, T.S., Ma, Y.: Image super-resolution via sparse representation. IEEE Trans. Image Process. 19(11), 2861–2873 (2010)
8. Mallat, S., Guoshen, Y.: Super-resolution with sparse mixing estimators. IEEE Trans. Image Process. 19(11), 2889–2900 (2010)
9. Demirel, H., Anbarjafari, G.: Discrete wavelet transform-based satellite image resolution enhancement. IEEE Trans. Geosci. Remote Sens. 49(6), 1997–2004 (2011)
10. Celik, T., Tjahjadi, T.: Image resolution enhancement using dual-tree complex wavelet transform. Geosci. Remote Sens. Lett. IEEE 7(3), 554–557 (2010)
11. Giachetti, A., Asuni, N.: Real time artifact-free image upscaling. IEEE Trans. Image Process. 20(10), 2760–2768 (2011)
12. Li, X., Orchard, M.T.: New edge-directed interpolation. IEEE Trans. Image Process. 10, 1521–1527 (2001)
13. Haris, M., Sawase, K., Widyanto, M.R., Nobuhara, H.: An efficient super resolution based on image dimensionality reduction using accumulative intensity gradient. J. Adv. Comput. Intell. Intell. Inform. 18(4), 518–528 (2014)
14. Zhang, L., Xiaolin, W.: An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans. Image Process. 15(8), 2226–2238 (2006)
15. Irani, M., Peleg, S.: Motion analysis for image enhancement: resolution, occlusion, and transparency. J. Vis. Commun. Image Represent. 4(4), 324–335 (1993)
16. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
17. Zhang, L., Zhang, L., Mou, X., Zhang, D.: Fsim: a feature similarity index for image quality assessment. IEEE Trans. Image Process. 20(8), 2378–2386 (2011)