Blurred image deconvolution using Gaussian scale mixtures model in wavelet domain
Image restoration (deconvolution) is a basic step for image processing, analysis and computer vision. We addressed blurred image deconvolution problem using Expectation maximization (EM) based approach in the wavelet domain. The sparsity property of wavelet coefficients is modelled using the class of Gaussian Scale Mixture (GSM), which represents the heavy-tailed statistical distribution. The maximum a posterior (MAP) estimate is computed using EM, where scale factors of GSM plays the role of...[Show more]
|Collections||ANU Research Publications|
|Source:||2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012|
|01_Hanif_Blurred_image_deconvolution_2012.pdf||754.37 kB||Adobe PDF||Request a copy|
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