Ladderal Structure Of Super Resolution With Support Of Inpainting

Srikanth G, K Venu Gopal

Abstract


Inpainting is the process of reconstructing lost or deteriorated part of images based on the background information. i. e. image Inpainting fills the missing or damaged region in an image utilizing spatial information of its neighboring region.We address the issue in ability deal of image blurring and low resolution. This paper introduces a new examplar-based inpainting framework. A coarse version of the input image is first inpainted by a nonparametric patch sampling. Compared to existing approaches, some improvements have been done (e.g. filling order computation, combination of K nearest neighbours) A hierarchical super-resolution algorithm is then used to recover details on the missing areas. The advantage of this approach is that

 

 

it is easier to inpaint low-resolution pictures than high-resolution ones. The gain is both in terms of computational complexity and visual quality.


Keywords


Inpainting, super-resolution, missing areas, priority terms, Low Resolution, High Resolution

References


Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: SIGGRPAH 2000. (2000)

Tschumperl´e, D., Deriche, R.: Vector-valued image regularization with pdes: a common framework for different applications. IEEE Trans. on PAMI 27 (2005) 506–517

Chan, T., Shen, J.: Variational restoration of non-flat image features: models and algorithms. SIAM J. Appl. Math. 61 (2001) 1338–1361

Criminisi, A., P´erez, P., Toyama, K.: Region filling and object removal by examplar-based image inpainting. IEEE Trans. On Image Processing 13 (2004) 1200–1212

Drori, I., Cohen-Or, D., Yeshurun, H.: Fragment-based image completion. ACM Trans. Graph. 22 (2003) 303–312

Harrison, P.: A non-hierarchical procedure for re-synthesis of complex texture. In: Proc. Int. Conf. Central Europe Comp. Graphics, Visua. and Comp. Vision. (2001)

Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: PatchMatch: A randomized correspondence algorithm for structural image editing. ACM Transactions on Graphics (Proc. SIGGRAPH) 28 (2009)

Efros, A.A., Leung, T.K.: Texture synthesis by non-parametric sampling. In: International Conference on Computer Vision. (1999) 1033–1038

Le Meur, O., Gautier, J., Guillemot, C.: Examplar-based inpainting based on local geometry. In: ICIP. (2011)

Dai, S., Han, M., Xu, W., Wu, Y., Gong, Y., Katsaggelos, A.: Softcuts: a soft edge smoothness prior for color image super-resolution. IEEE Trans. On Image Processing 18 (2009) 969–981


Full Text: PDF[FULL TEXT]

Refbacks

  • There are currently no refbacks.


Copyright © 2013, All rights reserved.| ijseat.com

Creative Commons License
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.