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.
Primary Language | English |
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Subjects | Electrical Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | December 30, 2019 |
Published in Issue | Year 2019 Volume: 9 Issue: 2 |
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