Abstract

Super-resolution technique is used for resolution enhancement. In Multiframe Super-resolution multiple low resolution images are combined to get high resolution image. Most important part of Multiframe Super-resolution is Image Registration that estimates translation,rotation and scaling parameters. In this paper they propose combination of PCA and GPOF registration method for constructing high resolution image. In GPOF registration method, which reach the sub pixel precision and allow large pixel motions and then apply PCA method which is used for compression of image. Image fusion is applied to get one output image. Then bicubic interpolation is used to get high resolved image. Experiment images show that the HR image by our proposed method has much higher quality than other methods.

References

• S. C. Park, M. K. Park and M. G. Kang, "Super- resolution image reconstruction- A technical review"- IEEE Signal Processing Mag. , vol. 20, pp. 21–36, May 2003.
• Xuelong Li,Yanting Hu, Xinbo Gao, et. al, "A multi-frame image super-resolution method", IEEE Transactions on Signal Processing 90, pp. 405-414, 2010.
• Li Xin Na, Li Wen Ping, Wang Zheng Ming, Zhao Xia, "A Image Registration Method Combined with Gradient Similar Measure", IEEE Trans. Image Process. , vol. 11, 2011.
• Lan Zhang; Hua Zhang; Simiao Zhang; YanbingXue, "Multi-frame image super-resolution reconstruction based on GPOF registration and L1-norm," Natural Computation (ICNC), 2010 Sixth International Conference on , vol. 7, no. , pp. 3601,3604, 10-12 Aug. 2010
• Sasatani, S. ; Xian-Hua Han; Yen-wei Chen, "Image registration using PCA and gradient method for super-resolution imaging," Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on , vol. , no. , pp. 631,634, 23-25 June 2010.
• Kusum Rani ; Reecha Sharma, "Srudy of Different Image fusion Algorithm",International journal of Emerging Technology and advanced engineering,2013.
• Chidananda Murthy, M. V. ; Yallapurmath, V. ; Kurian, M. Z. ; Guruprasad, H. S. , "Design and implementation of interpolation algorithms for image super resolution," Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2012 8th International Symposium on, vol. , no. , pp. 1,6, 18-20 July 2012.
• Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity", IEEE Trans. Image Process. , vol. 13, no. 4, pp. 600-612, 2004.
• Yusra A. Y. Al-Najjar, Dr. Der Chen Soong, "Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI", International Journal of Scientific & Engineering Research, Volume 3, Issue 8, August-2012.
• Simon Baker, Takeo Kanade, "Super-resolution optical flow", Technical Report CMU.
• Nan Zhao; Cuihua Li; Hua Shi; Chen Lin, "Multi-Frame Image Super-Resolution Based on Regularization Scheme," Control, Automation and Systems Engineering (CASE), 2011 International Conference on , vol. , no. , pp. 1,4, 30-31 July 2011.
• S. Farsiu, M. D. Robinson, M. Elad, and P. Milanfar, "Fast and robust Multi-frame super resolution", IEEE Trans. Image Process. , vol. 13, no. 10, pp. 1327-1344, 2004.
• R. Tsai, T. Huang,"Multi-frame image restoration and registration, in: Advances in Computer Vision and Image Processing, vol. 1, no. 2, JAI Press Inc. , Greenwich, CT, 1984, pp. 317–339.
• Vishal R. Jaiswal, Suhas H. Patil, Girish P. Potdar, ShrishailT. Patil," Multi-frame Image Super-Resolution-A Comparison",(IJCSE) International Journal On Computer Science and Engineering, Vol. 02, No. 09, 2010.
• Turgay Celik, Kai-Kuang Ma, "Fast Object-based Image Registration Using Principal Component Analysis for Super-resolution Imaging", 5th International Conference on Visual Information Engineering, pp. 705-710, 2008.
• Nelson, K. ; Bhatti, A. ; Nahavandi, S. , "Performance Evaluation of Multi-Frame Super-Resolution Algorithms," Digital Image Computing Techniques and Applications (DICTA), 2012 International Conference on pp. 1,8, 3-5 Dec. 2012.