Bonfring International Journal of Advances in Image Processing
Online ISSN: 2277-503X | Print ISSN: 2250-1053 | Frequency: 4 Issues/Year
Impact Factor: 0.245 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
De-blurring Cardiac SPECT Images by Maximum Likelihood Approach
Abstract:
This paper presents a blind de-convolution algorithm for enhancing cardiac SPECT images by reducing the blur present in the image. The method is based on maximum likelihood estimate and in particular, the processing is done in a suitable color space. An iterative algorithm, without any prior information, is used to estimate the original image and the point spread function. Blur metric and peak signal to noise ratio are considered for performance evaluation of the algorithm. The effect of number of iterations on the quality of de-blurred image is also studied. Real medical images are used for appraising the algorithm
Keywords: Blind De-convolution, Maximum Likelihood Estimate, Nuclear Images, Single Photon Emission Computed Tomography
Volume: 5 | Issue: 1
Pages: 01-05
Issue Date: February , 2015
DOI: 10.9756/BIJAIP.10372
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