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- W2783306832 abstract "To scan different organs of human beings, medical imaging devices such as Magnetic Resonance Image, Computer Tomography, X-Ray and Ultrasound are used. These devices are used to get medical images to investigate most of diseases. Medical images are oftentimes effected by speckle noise. To utilize medical images accurately for given applications, it is very important to remove speckle noise from these images. Stationary wavelet transform is vastly used technique in image processing to remove noise, but decomposition at higher level can also cause to lose some information such as edges and contrast. Therefore to preserve and enhance edges, the proposed method uses denoising, edge preserving and enhancing techniques separately on noisy image. Finally, image fusion is used to combine three enhanced images. Wavelet transform has been used to denoise, sharpening and fusion while fuzzy logic is used to enhance the contrast." @default.
- W2783306832 created "2018-01-26" @default.
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- W2783306832 date "2017-10-01" @default.
- W2783306832 modified "2023-09-23" @default.
- W2783306832 title "Reduction of speckle noise in medical images using stationary wavelet transform and fuzzy logic" @default.
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- W2783306832 doi "https://doi.org/10.1109/raee.2017.8246142" @default.
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