Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing

Abstract

The paper is devoted to the analysis of the efficiency of different algorithms for noise reduction on medical images in endoscopy. The algorithms of adaptive median filtering., KNN filtering., block matching filtering (Non local means and 3DBM) are analyzed. The conclusions and the recommendations for the implementation of these algorithms in clinical decision support systems in endoscopy are given.

Keywords

• medical image processing
• noise reduction algorithms
• adaptive median
• non local mean
• BM3D