COMPARISON OF DENOISING METHODS FOR DIGITAL MAMMOGRAPHIC IMAGE
DOI:
https://doi.org/10.11113/jt.v57.1527Keywords:
Adaptive Wiener filter, Low–pass Gaussian filter, Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR)Abstract
We compared effects of denoising methods on digital mammographic images. The denoising methods studied were an adaptive Wiener filter and low–pass Gaussian filter. The denoising methods were applied as an image preprocessing techniques before enhancement. The performance of image denoising methods are based on Mean Squared Error (MSE) and Peak Signal To Ratio (PSNR) values.References
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