Image Denoising Using Sure-Based Adaptive Thresholding in Directionlet Domain
نویسندگان
چکیده
منابع مشابه
Image Denoising Using Sure-based Adaptive Thresholding in Directionlet Domain
The standard separable two dimensional wavelet transform has achieved a great success in image denoising applications due to its sparse representation of images. However it fails to capture efficiently the anisotropic geometric structures like edges and contours in images as they intersect too many wavelet basis functions and lead to a non-sparse representation. In this paper a novel de-noising...
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Noise will be unavoidable during image acquisition process and denosing is an essential step to improve the image quality. Image denoising involves the manipulation of the image data to produce a visually high quality image. Finding efficient image denoising methods is still valid challenge in image processing. Wavelet denoising attempts to remove the noise present in the imagery while preservi...
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Speckle noise usually occurs in Synthetic Aperture Radar (SAR) images due to coherent radiation. Speckle reduction is a mandatory step prior to the processing of SAR images. Here a novel de-speckling scheme is presented which is in line with the wavelet transform based schemes with several modifications due to the implementation of directionlet transform. As in any transform based de-speckling ...
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Directionlet transform (DT) has become popular over the last few years as an efficient image representation tool due to its fine frequency tiling and directional vanishing moments along any two directions. A novel denoising algorithm based on DT is proposed here for images corrupted with Gaussian noise. The image is first spatially segmented based on the content directionality. Then an undecima...
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Image denoising is an important pre-processing step in most imaging applications. Block Matching and 3D Filtering (BM3D) is considered to be the current state-of-art algorithm for additive image denoising. But this algorithm uses a fixed hard thresholding scheme to attenuate noise from a 3D block. Experiments show that this fixed hard thresholding deteriorates the performance of BM3D because it...
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ژورنال
عنوان ژورنال: Signal & Image Processing : An International Journal
سال: 2012
ISSN: 2229-3922
DOI: 10.5121/sipij.2012.3606