Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

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Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

متن کامل

Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

متن کامل

Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary

Image denoising problem can be addressed as an inverse problem. One of the most recent approaches to solve an inverse problem is a sparse decomposition over overcomplete dictionaries. In sparse representation, images are represented as a linear combination of dictionary atoms. In this paper, we propose an algorithm for image denoising based on Orthogonal Matching Pursuit (OMP) for determining s...

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Medical image denoising based on dictionary learning

Images are widely used in medical engineering. Medical imaging devices are inevitable to introduce noises to medical images. It is important to eliminate noises in medical images. To denoise the images more effectively, this paper proposes an improved image denoising method based on dictionary learning. It introduced the image size and pixel distribution to define a new iteration more reasonabl...

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Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

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Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

Medical Image Denoising based on Log-Gabor Wavelet Dictionary and K-SVD Algorithm

Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary

Medical image denoising based on dictionary learning

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