Experimental Investigation on Maximum Entropy Image Restoration of Limited Angle Diffraction Tomography

Constrained sinogram restoration for limited-angle tomography

Mammographic image restoration using maximum entropy deconvolution.

An image restoration approach based on a Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem, that of reduction of geometric blurring in magnification mammography. The aim of the work is to demonstrate an improvement in image spatial resolution in realistic noisy radiological images with no associated penalty in terms of reduction in the signal-t...

Accurate image reconstruction from few-view and limited-angle data in diffraction tomography.

We present a method for obtaining accurate image reconstruction from highly sparse data in diffraction tomography (DT). A practical need exists for reconstruction from few-view and limited-angle data, as this can greatly reduce required scan times in DT. Our method does this by minimizing the total variation (TV) of the estimated image, subject to the constraint that the Fourier transform of th...

Passive Millimeter-wave Image Restoration using Maximum Entropy Method with

Passive millimeter-wave (PMMW) image have an inherently poor resolution and highly blurred due to limited aperture dimension and the consequent diffraction limits thus requiring specialized sophisticated restoration algorithm before the image can be used for any useful purposes. In recent years many powerful algorithms based on Bayesian statistical concept are developed. These algorithms are no...

Image processing methods for limited angle tomography and sparse angle tomography

The purpose of medical computed tomography (CT) is to generate a three dimensional (3D) model of inner organs based on number of two dimensional (2D) X-ray images taken from different directions around the patient. Clinical CT imaging improves and extends the operational and diagnostic X-ray imaging since it basically adds a new spatial dimension to the data by converting multiple 2D images int...