WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/7195,
	  title     = {Super Resolution Blind Reconstruction of Low Resolution Images using Wavelets based Fusion},
	  author    = {Liyakathunisa and  V. K. Ananthashayana},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {4},
	  year      = {2008},
	  pages     = {1015 - 1019},
	  ee        = {https://publications.waset.org/pdf/7195},
	  url   	= {https://publications.waset.org/vol/16},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 16, 2008},
	}