Medical Image Denoising by Bilateral Filtering & Pure-Let for Corrupted Poisson Images
Dogra Anush, Ayush Dogra · Indian journal of innovations and developments · 2015
Objective: In this paper, we will demonstrate the two denoising techniques on medical images corrupted by poisson noise. These techniques are analyzed both qualitatively and quantitatively. Methods & analysis: The work is implemented in Matlab software in image processing toolbox and for Quantitative analysis mean square error(MSE) is used. Findings: Image denoising by the PURE-LET yields better results. Conclusion/improvement: PURE-LET techniques is better for denoising medical images corrupted with Poisson noise.