A COMPARISON STUDY FOR IMAGE DENOISING

Year 2019, , 145 - 150, 30.12.2019

Muhammet Fatih Aslan , Akif Durdu , Kadir Sabanci

https://doi.org/10.36222/ejt.623068

Cited By: 1

Abstract

Image denoising is the detection and
removal of outliers in a image. A measured analog signal is affected by both
the device from which the measurement is performed and the noise from the
environment. Various types of noise are available. With the developed noise
reduction methods, it is tried to eliminate the existing noise. In this study,
Bandelet Transform and Bilateral Filter denoising methods are compared. Both
methods have been used to eliminate noise of different types and different
rates added to the benchmark and retina images. Bandelet transform is performed
for both hard and soft threshold. Peak Signal-to-Noise Ratio, Mean Squared
Error, Mean Structural Similarity and Feature Similarity Index are used as a
comparison method.

Keywords

Bandelet transform, Bilateral filter, Image Denoising

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