TY - JFULL AU - Liyakathunisa and V. K. Ananthashayana PY - 2008/5/ TI - Super Resolution Blind Reconstruction of Low Resolution Images using Wavelets based Fusion T2 - International Journal of Computer and Information Engineering SP - 1014 EP - 1019 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/7195 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 16, 2008 N2 - 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. ER -