Vol 1, No 1 (2016)

Noisy Medical Images Using Resolution Enhancement Technique

Authors: Prof. Karimella Vikram, Dr. Soundara Rajan


The objective of this paper is to estimate a high resolution medical image from a single noisy low resolution image with the help of given database of high and low resolution image patch pairs. Initially a total variation (TV) method which helps in removing noise effectively while preserving edge information is adopted. Further de-noising and super resolution is performed on every image patch. For each TV denoised low-resolution patch, its high-resolution version is estimated based on finding a nonnegative sparse linear representation of the TV denoised patch over the low-resolution patches from the database, where the coefficients of the representation strongly depend on the similarity between the TV denoised patch and the sample patches in the database. The problem of finding the nonnegative sparse linear representation is modelled as a nonnegative quadratic programming problem. The proposed method is especially useful for the case of noise-corrupted and low-resolution image

Full Issue

View or download the full issue PDF

Table of Contents