Barrier Removal from an Image Sequence using Edge Flow Technique
DOI:
https://doi.org/10.26438/ijcse/v5i9.190193Keywords:
Flash, Reflection Removal, Obstruction, SPBSM, SID, GPSRAbstract
Photography as a line of work requires that the shooting of convinced scenes take place in outside location as well as inside location. The being thereof a glass window grill and light source creates complications during indoor scenes whereas the presence of fence mostly obstructs the outdoor scenes. Such visual barriers are often impossible to avoid just by changing the camera position. Outdated computational methods are still not robust enough to remove such barrier from images without difficulty. The Proposed approach computationally removes the obstruction and occluding contents from images.
References
LI, Y., AND BROWN, M. S, “Exploiting Reflection Change for Automatic Reflection Removal”, IEEE International Conference on Computer Vision (ICCV), 2013.
GUO, X., CAO, X., AND MA, Y., “Robust Separation of Reflection from Multiple Images” IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014.
KOPF, J., LANGGUTH, F., SCHARSTEIN, D., SZELISKI, R., GOESELE, M., AND DARMSTADT, T. U., “Image-Based Rendering in the Gradient Domain” ACM SIGGRAPH 2013.
CANNY, J., “A computational approach to edge detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 6, 679–698, 1986.
SAREL, B., AND IRANI, M., “Separating transparent layers through layer information exchange”, European Conference on Computer Vision (ECCV) 2004.
FARID, H., AND ADELSON, E. H, “ Separating reflections and lighting using independent components analysis”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1999.
GAI, K., SHI, Z., AND ZHANG, C., “Blind separation of superimposed images with unknown motions”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009.
LIU, S., YUAN, L., TAN, P., AND SUN, J,” Steady flow: Spatially smooth optical flow for video stabilization”. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014.
J SZELISKI, R., “Fast surface interpolation using hierarchical basis functions”. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 12, 6, 513–528 1990.
YAMASHITA, A., MATSUI, A., AND KANEKO, T., “Fence removal from multi-focus images”, In International Conference on Pattern Recognition (ICPR)2010.
LEVIN, A., AND WEISS, Y, ” User assisted separation of reflections from a single image using a sparsity prior”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)29, 9, 1647–1654, 2007.
LI, Y., AND BROWN, M. S., “Single image layer separation using relative smoothness”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014.
KONG, N., TAI, Y.-W., AND SHIN, J. S., “A physically based approach to reflection separation: from physical modeling to constrained optimization” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 36, 2, 209–21, 2014.
BARNUM, P. C., NARASIMHAN, S., AND KANADE, T,” Analysis of rain and snow in frequency space”. International Journal of Computer Vision (IJCV) 86, 2-3, 256–274, 2010.
PARK, M., BROCKLEHURST, K., COLLINS, R. T., AND LIU, Y, “Image de-fencing revisited”. In Asian Conference on Computer Vision (ACCV) 2011.
NEWSON, A., ALMANZA, A., FRADET, M., GOUSSEAU, Y., PEREZ, P., ET AL. “Video inpainting of complex scenes”. Journal of Imaging Sciences, Society for Industrial and Applied Mathematics 2014.
Carlos Cuevas, Raquel Martinez, Narciso Garcia, “Detection of Stationary Foreground Objects”. In Elsevier Computer Vision and Image understanding July 2016.
N. Ohnishi, K. Kumaki, T. Yamamura, and T. Tanaka. “Separating real and virtual objects from their overlapping images. In Proc. European Conference on Computer Vision (ECCV), volume 1065, pages 636–646
Crminisi, A., Perez, P., and Toyama, K. 2004. “Region filling and object removal by exemplar-based image in painting”, IEEE Transaction on Image Processing 13, 9, 1200-1212.
Wilhelm Burger, Mark J. Burge, “Digital Image Processing: An Algorithmic Introduction Using Java”, Springer transaction on Digital Image Processing 2016.
Carlos Cuevas, Raquel Martinez, Narciso Garcia, “Detection of Stationary Foreground Objects”, In Elsevier Computer Vision and Image understanding July 2016.
Sergei Azernikov, “Sweeping solids on manifolds”, In Symposium on Solid and Physical Modeling, pages 249–255, 2008.
Ashwini Gat, Mr. Uday Nuli, Mr. Sandip Murchite, “Various Obstruction Removal Techniques from a Sequence of Images”, International Journal of Computer Engineering In Research Trends, Vol.4, Issue.3, pp.86-88, 2017.
Aaditya Sharma, R. K. Pateriya, “A Survey on various Image Filtering Approaches to remove Impulse Noise”, International Journal of Computer Engineering In Research Trends, Vol.2, Issue.5, pp.322-328, 2015.
Aaditya Sharma, R. K .Pateriya, “Removing Salt and Pepper Noise using Modified Decision- Based Approach with Boundary Discrimination”, International Journal of Computer Engineering In Research Trends, Vol.2, Issue.7, pp.411-420, 2015.
Suman Das, Nashra Nazim Siddiqui, Nehal Kriti, Surya Prakash Tamang, “Detection and area calculation of brain tumour from MRI images using MATLAB”, International Journal of Computer Engineering In Research Trends, Vol.4, Issue.1, pp.37-40, 2015.
D.J. Ashpin Pabi, N.Puviarasan, P.Aruna, “Fast Singular value decomposition based image compression using butterfly particle swarm optimization technique (SVD-BPSO)”, International Journal of Computer Engineering In Research Trends, Vol.4, Issue.4, pp.128-135, 2017.
Matthew Hu, “Reflection Removal Algorithms”, Computational Imaging and Display:EE367/CS448I, 2016.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
