IMPROVEMENT OF THE RECONSTRUCTION QUALITY OF MULTI FRAME USING SUPER RESOLUTION METHOD
Author(s):
P. Vineela Reddy, Dr.K.Madhavi
Keywords:
Multi-frame MAP Estimator, Image registration, MAP Estimator, Optical Coherence Tomography, SR Super Resolution.
Abstract
OCT (optical coherence tomography) images relies on interferometry, which explains images suffer from a high level of noise. Noise in image is any degradation in an image signal, caused by external disturbance while an image is being sent from one place to another place via satellite ,wireless and network cable. Image noise is an undesirable by product of image capture the desired information. In existing system, A super resolution algorithm can be used to generate a high resolution image or image sequence .The algorithm has been proposed to estimate sparse co-efficient using joint MAP estimator. A non local sparse model-based Bayesian framework is proposed for OCT restoration. The laplacian distribution, normalized vectorand GEV distribution is used for best good fit for modeling super resolution method is not fast as MAP solution. In proposed system, To overcome the existing drawback on single super resolution algorithm we are going to explore multi frame super resolution to gain more improvement in reconstruction quality. A multi frame super resolution produces a superior quality, high resolution image from multiple numbers of blurred noisy low resolution images
Article Details
Unique Paper ID: 153777

Publication Volume & Issue: Volume 8, Issue 8

Page(s): 458 - 469
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