Results 231 to 240 of about 20,648 (268)
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SIGGRAPH Asia 2015 Technical Briefs, 2015
j In this paper, we propose an acceleration method for image denoising with a redundant discrete cosine transform (R-DCT). Image denoising is essential for image processing, and its efficiency is important for graphics applications. R-DCT with a hard-thresholding or shrinkage method can perform denoising while keeping detail textures.
Shu Fujita +3 more
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j In this paper, we propose an acceleration method for image denoising with a redundant discrete cosine transform (R-DCT). Image denoising is essential for image processing, and its efficiency is important for graphics applications. R-DCT with a hard-thresholding or shrinkage method can perform denoising while keeping detail textures.
Shu Fujita +3 more
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LAPLACIAN DCT COEFFICIENT MODELS
International Journal of Wavelets, Multiresolution and Information Processing, 2008It is well known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplace distribution. In this note, a collection of formulas is derived for the distribution of the actual DCT coefficient. The corresponding estimation procedures are derived by the method of moments and the method of maximum ...
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International Journal of Wavelets, Multiresolution and Information Processing, 2010
It has been known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplace distribution. However, recent work has shown that the Laplace distribution may not be a good fit for certain types of images and that the Gaussian distribution will be a realistic model in such cases. A model that contains
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It has been known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplace distribution. However, recent work has shown that the Laplace distribution may not be a good fit for certain types of images and that the Gaussian distribution will be a realistic model in such cases. A model that contains
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1997
Abstract This is a parallel problem to that which the convergence theorems are designed to solve, the difference being that here we have a limit involving a continuous variable, namely h, while before we had a discrete variable, n. Thus we need convergence theorems with a continuous variable.
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Abstract This is a parallel problem to that which the convergence theorems are designed to solve, the difference being that here we have a limit involving a continuous variable, namely h, while before we had a discrete variable, n. Thus we need convergence theorems with a continuous variable.
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Fast Computation of Integer DCT-V, DCT-VIII, and DST-VII for Video Coding
IEEE Transactions on Image Processing, 2019Woonsung Park +2 more
exaly
An efficient algorithm for optimizing DCT quantization
IEEE Transactions on Image Processing, 2000M Livny
exaly
Low-Complexity Multidimensional DCT Approximations for High-Order Tensor Data Decorrelation
IEEE Transactions on Image Processing, 2017Vitor A Coutinho +2 more
exaly