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Super Resolution Blind Reconstruction of Low Resolution Images using Wavelets based Fusion
Crucial information barely visible to the human eye is often embedded in a series of low resolution images taken of the same scene. Super resolution reconstruction is the process of combining several low resolution images into a single higher resolution image. The ideal algorithm should be fast, and should add sharpness and details, both at edges and in regions without adding artifacts. In this paper we propose a super resolution blind reconstruction technique for linearly degraded images. In our proposed technique the algorithm is divided into three parts an image registration, wavelets based fusion and an image restoration. In this paper three low resolution images are considered which may sub pixels shifted, rotated, blurred or noisy, the sub pixel shifted images are registered using affine transformation model; A wavelet based fusion is performed and the noise is removed using soft thresolding. Our proposed technique reduces blocking artifacts and also smoothens the edges and it is also able to restore high frequency details in an image. Our technique is efficient and computationally fast having clear perspective of real time implementation.
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[1] Liyakathunisa and V.K. Anantha Shayana "Multichannel blind restoration of Blurred Noisy Images" in Proc. IRIS-06: International Conference on Recent trends, pp 48-55, NEC, Tamilnadu, India, Jan 6- 8th, 2006.
[2] Liyakathunisa and V.K. Anantha Shayana "Super Resolution Blind Restoration of Noisy, Blurred and Aliased Low Resolution images under compression" in Proc. ICIST-07: International Conference on Information Systems,pp 61-66, MES, Kerala, India, Dec 14-15,2007.
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[8] S. Chaudhuri, Ed., Super-Resolution Imaging. Norwell, MA: Kluwer, 2001.
[9] 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.
[10] N. Nguyen and P. Milanfar, "A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution)," Circuits Systems Signal Processing, vol. 19, no. 4, pp. 321-338, 2000.
[11] S. Lertrattanapanich, "Wavelet-based interpolation- restoration method superresolution matlab code.
[12] T. Komatsu, K. Aizawa, T. Igarashi, and T. Saito, "Signal-processing based method for acquiring very high resolution image with multiple cameras and its theoretical analysis," Proc. Inst. Elec. Eng., vol. 140, no. 1, pt. I, pp.19-25, Feb. 1993.
[13] M. El-Sayed Wahed," Image enhancement using second generation wavelet super resolution" International Journal of Physics.
[14] Varsha H. Patil "Color Super Resolution Image Reconstruction" International Conference on Computational Intelligence and Multimedia Applications 2007.
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