Medical Image Denoising by Bilateral Filtering & Pure-Let for Corrupted Poisson Images

Anush Dogra; Ayush Dogra

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off

Abstract
References
Article Metrics
Refbacks

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.