Zobrazeno 1 - 10
of 488
pro vyhledávání: '"Bayer F"'
Publikováno v:
J Sign Process Syst 95, 495-516 (2023)
The discrete cosine transform (DCT) is a central tool for image and video coding because it can be related to the Karhunen-Lo\`eve transform (KLT), which is the optimal transform in terms of retained transform coefficients and data decorrelation. In
Externí odkaz:
http://arxiv.org/abs/2410.15244
Publikováno v:
Multimedia Tools and Applications, 83(26):67303--67325, January 2024
The Karhunen-Lo\`eve transform (KLT) stands as a well-established discrete transform, demonstrating optimal characteristics in data decorrelation and dimensionality reduction. Its ability to condense energy compression into a select few main componen
Externí odkaz:
http://arxiv.org/abs/2410.09227
Publikováno v:
Signal Processing, Volume 162, September 2019, Pages 10-20
This paper introduces an adaptive filtering process based on shrinking wavelet coefficients from the corresponding signal wavelet representation. The filtering procedure considers a threshold method determined by an iterative algorithm inspired by th
Externí odkaz:
http://arxiv.org/abs/2307.10509
Publikováno v:
IEEE Transactions on Image Processing, Volume 26, Issue 5, May 2017
In this paper, we introduce low-complexity multidimensional discrete cosine transform (DCT) approximations. Three dimensional DCT (3D DCT) approximations are formalized in terms of high-order tensor theory. The formulation is extended to higher dimen
Externí odkaz:
http://arxiv.org/abs/2306.11724
Publikováno v:
Computational Statistics & Data Analysis, v. 171, July 2022
Two-dimensional (2-D) autoregressive moving average (ARMA) models are commonly applied to describe real-world image data, usually assuming Gaussian or symmetric noise. However, real-world data often present non-Gaussian signals, with asymmetrical dis
Externí odkaz:
http://arxiv.org/abs/2208.03615
Publikováno v:
IEEE Geoscience and Remote Sensing Letters, v. 19, 2020
The Rayleigh regression model was recently proposed for modeling amplitude values of synthetic aperture radar (SAR) image pixels. However, inferences from such model are based on the maximum likelihood estimators, which can be biased for small signal
Externí odkaz:
http://arxiv.org/abs/2208.03611
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, v. 60, 2021
The presence of outliers (anomalous values) in synthetic aperture radar (SAR) data and the misspecification in statistical image models may result in inaccurate inferences. To avoid such issues, the Rayleigh regression model based on a robust estimat
Externí odkaz:
http://arxiv.org/abs/2208.00097
Publikováno v:
Digital Signal Processing, Volume 109, February 2021, 102911
This paper proposes the beta binomial autoregressive moving average model (BBARMA) for modeling quantized amplitude data and bounded count data. The BBARMA model estimates the conditional mean of a beta binomial distributed variable observed over the
Externí odkaz:
http://arxiv.org/abs/2208.00095
Autor:
Coelho, D. F. G., Cintra, R. J., Bayer, F. M., Kulasekera, S., Madanayake, A., Martinez, P. A. C., Silveira, T. L. T., Oliveira, R. S., Dimitrov, V. S.
Publikováno v:
J. Low Power Electron. Appl. 2018, 8(4), 46
This paper introduced a matrix parametrization method based on the Loeffler discrete cosine transform (DCT) algorithm. As a result, a new class of eight-point DCT approximations was proposed, capable of unifying the mathematical formalism of several
Externí odkaz:
http://arxiv.org/abs/2207.14463
Publikováno v:
Signal Processing: Image Communication, Volume 58, October 2017, Pages 14-23
In this paper, two 8-point multiplication-free DCT approximations based on the Chen's factorization are proposed and their fast algorithms are also derived. Both transformations are assessed in terms of computational cost, error energy, and coding ga
Externí odkaz:
http://arxiv.org/abs/2207.11638