Publication Type : Conference Proceedings
Publisher : IEEE
Source : International Conference on Recent Trends in Information, Telecommunication, and Computing ITC 2010, IEEE, Kochi, Kerala, p.100-104 (2010)
ISBN : 9780769539751
Keywords : De-noising, Discrete wavelet transforms, Existing method, Filter banks, Framelets, Fusion methods, Fusion techniques, Image coding, Low resolution images, Mean square error, Peak signal to noise ratio, Shift invariance, Signal to noise ratio, Spatial informations, Sub pixels, Super resolution, Tight frame, Wavelet analysis, Wavelet function
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2010
Abstract : In this paper, we propose a fusion technique based on framelets to obtain super resolution image from sub-pixel shifted, noisy, blurred low resolution images. This method has high advantages over all existing methods. A Tight frame filter bank provides symmetry and has a redundancy that allows for approximate shift invariance which leads to clear edges, high spatial information with effective denoising which was lacked in critically sampled discrete wavelet transform. They are also shorter and results in smoother scaling and wavelet functions. The reconstructed super resolution image obtained by this technique has high peak signal to noise ratio (PSNR) and low mean square error (MSE) than that obtained by wavelet based fusion method, which is evident through the experimental results. © 2010 IEEE.
Cite this Research Publication : B. D. Bhushan, Sowmya, and Dr. Soman K. P., “Super resolution blind reconstruction of low resolution images using framelets based fusion”, International Conference on Recent Trends in Information, Telecommunication, and Computing ITC 2010. IEEE, Kochi, Kerala, pp. 100-104, 2010.