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On the shift property of DCT's and DST's
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987The relationship between the family of DCT's and DST's of original sequence and shifted sequences is developed. While these properties are not as simple as the case for the DFT, they are still useful for processing long streams of data sequences where time-varying filtering is required.
Patrick C. Yip, Kamisetty Ramamohan Rao
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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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Searchless Fractal Image Compression Using Fast DCT and Real DCT
2016Growing need for pictorial data in information era makes image storage and transmission very expensive. Fast algorithms to compress visual information without degrading the quality are of utmost importance. To overcome this problem, this paper proposes new methods to reduce the encoding time for no search fractal image compression in DCT domain by ...
Preedhi Garg +2 more
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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
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Scalable Approximate DCT Architectures for Efficient HEVC-Compliant Video Coding
IEEE Transactions on Circuits and Systems for Video Technology, 2017Maher Jridi, Pramod Kumar Meher
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Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images
IEEE Transactions on Image Processing, 2007Alessandro Foi +2 more
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