Accelerate Image Reconstruction Using GPU

S.M. Walunj¹ , S.V. Gaikar² , A.D. Potgantwar³

¹ Computer Engineering, Sandip Foundations SITRC (Pune University), Nashik, India.
² Computer Engineering, Sandip Foundations SITRC (Pune University), Nashik, India.
³ Computer Engineering, Sandip Foundations SITRC (Pune University), Nashik, India.

Correspondence should be addressed to: shivani.gaikar100@gmail.com.

Section:Research Paper, Product Type: Journal
Vol.5 , Issue.3 , pp.68-75, Jun-2017

Online published on Jun 30, 2017

Copyright © S.M. Walunj, S.V. Gaikar, A.D. Potgantwar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

1040 Views    371 Downloads    287 Downloads

Abstract :
The Region-of-Interest approaches of image processing attempt to assign more bits to ROI’s and fewer bits to other regions. The perceptual quality of image degrades as the background image gets distorted. To address the issue, the system generate as hierarchical framework of 3 layers i.e. image search, patch matching and image synthesis(image reconstruction). Compared with exsisting techniques i.e. ROI, the proposed system achieve better results in terms of Time, Recall, Precision and Fmeasure(Accuracy). The proposed system enhances the speed of reconstruction of reconstruction of image by 5-6% and also increases the accuracy by 8% to 10% than existing approach.

Key-Words / Index Term :

References :
[1] Yipeng Sun, “HEMS: Hierarchical Exemplar-Based Matching-Synthesis for Object-Aware Image Reconstruction�, IEEE Transaction on multimedia, Vol.18, No.2, pp.171-181, 2016.
[2] Perra, J. Frahm., “Cloud-scale image compression through content de- duplication�, in Proc. Brit. Mach. Vis. Conf., USA, pp. 18, 2014
[3] Y. Sun, X. Tao, Y. Li, J. Lu, “Dictionary learning for image coding based on multisample sparse representation�, IEEE Trans. Circuits Syst. Video Technol., Vol.24, No.11, pp. 2004-2010, 2014.
[4] L. Zheng, S. Wang, Q. Tian., “Lp-Norm IDF for scalable image retrieval�, IEEE Trans. Image Process., Vol.23, No.8, pp. 3604-3617, 2014.
[5] H. Qi, M. Stojmenovic, K. Li, Z. Li, W. Qu, “A low transmission overhead framework of mobile visual search based on vocabulary decomposition�, IEEE Trans. Multimedia, Vol.16, No.7, pp. 1963-1972, 2014.
[6] Margolin, A. Tal, L. Zelnik-Manor., “What makes a patch distinct?�, in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2013, pp. 11391146.
[7] H. Yue, X. Sun, J. Yang, F. Wu., “Cloud-based image coding for mobile devicesToward thousands to one compression�, IEEE Trans. Multimedia, Vol.15, No.4, pp. 845-857, 2013.
[8] P. Ndjiki-Nya et al., “Perception-oriented video coding based on image analysis and completion: A review�, Signal Process.: Image Commun., Vol.27, No.6, pp. 579-594, 2012.
[9] M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Huang, S.-M. Hu., “Global contrast based salient region detection�, in Proc. IEEE Conf. Comput. Vis. Pattern Recog., USA, pp. 409-416, 2011.
[10] B. Girod, “Mobile visual search�, IEEE Signal Process. Mag., Vol.28, No.4, pp. 61076, 2011.
[11] C. Guo, L. Zhang, “A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression�, IEEE Trans. Image Process., Vol.19, No.1, pp. 185-198, 2010.
[12] Z. Xiong, X. Sun, F. Wu., “Block-based image compression with parameter-assistant inpainting,�,IEEE Trans. Image Process , Vol.19, Issue.6, pp.1651-1657, 2010.
[13] Z. Farbman, G. Hoffer, Y. Lipman, D. Cohen, D. Lischinski, “Coordinates for instant image cloning�, ACM Trans. Graph., Vol.28, No.3, pp. 1-9, 2009.
[14] Z. Wu, Q. Ke, M. Isard, J. Sun., “Bundling features for large scale partial-duplicate web image search�, in Proc. IEEE Conf. on Comput. Vis. Pattern Recog., USA, pp.2532, 2009.
[15] I. Galic, “Image compression with anisotropic diffusion�, J. Math. Imaging Vis., Vol.31, No.23, pp. 255-269, 2008.
[16] Bo Peng, Lei Zhang1, “Automatic Image Segmentation by Dynamic Region Merging�, IEEE Transactions on image processing, Vol.20, Issue.12, pp.3592-3605, 2011.
[17] Ming-Ming Cheng, Niloy J. Mitra, “Salient Object Detection and Segmentation�, IEEE Transactions on Pattern, Vol.37, No.3, pp.569-582, 2015.
[18] D. Liu, X. Sun, F. Wu, S. Li, and Y.-Q. Zhang., “Image compression with edge-based inpainting�, IEEE Trans. Circuits Syst. Video Technol., Vol.17, No.10, pp. 1273-1287, Oct. 2007
[19] J. Harel, C. Koch, and P. Perona., “Graph-based visual saliency�, in Proc. Adv. Neural Inf. Process. Syst., USA, pp. 545-552, 2006.
[20] D. Marpe., “The H.264/MPEG4 advanced video coding standard and its applications�, IEEE Commun. Mag., Vol.44, No.8, pp. 134-143, 2006.