Results 281 to 290 of about 133,828 (342)

Discrete cosine transform of encrypted images

2008 15th IEEE International Conference on Image Processing, 2008
Processing a signal directly in the encrypted domain provides an elegant solution in application scenarios where valuable signals must be protected from a malicious processing device. In a previous paper we considered the implementation of the ID discrete fourier transform (DFT) in the encrypted domain, by using the homomorphic properties of the ...
Tiziano Bianchi, Alessandro Piva, Mauro Barni   +2 more
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Discrete Cosine Transform

2019
Humberto Ochoa-Domínguez, K. R. Rao
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Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks

, 2020
We have developed a prestack inversion algorithm that combines a discrete cosine transform (DCT) reparameterization of data and model spaces with a convolutional neural network (CNN).
M. Aleardi, A. Salusti
semanticscholar   +1 more source

The Discrete Cosine Transform (DCT)

2009
The Fourier transform and the DFT are designed for processing complex-valued signals, and they always produce a complex-valued spectrum even in the case where the original signal was strictly realvalued. The reason is that neither the real nor the imaginary part of the Fourier spectrum alone is sufficient to represent (i.e., reconstruct) the signal ...
Wilhelm Burger, Mark J. Burge
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Signal and image compression using quantum discrete cosine transform

Information Sciences, 2019
The discrete cosine transform (DCT) is widely used in image and video compression standard formats. This is due to its ability to represent signals and images using a limited number of significant coefficients without noticeable loss of visual clarity ...
Chao-Yang Pang, Ri-gui Zhou, Ben-Qiong Hu, Wenwen Hu, A. El-Rafei   +4 more
semanticscholar   +1 more source

On the discrete cosine transform computation

Signal Processing, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Comments on "Discrete Cosine Transform"

IEEE Transactions on Computers, 1975
In the above correspondence,1 Ahmed et al. proposed a discrete cosine transform (DCT) and compared its performance with the Karhunen-Loeve transform (KLT). They offered empirical evidence showing that the DCT and the KLT compare closely for a number of digital signal processing applications.
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Toward Compressed Sensing of Structural Monitoring Data Using Discrete Cosine Transform

Journal of computing in civil engineering, 2020
Advancement in sensing devices such as wireless sensors and high-rate data acquisition systems have recently enhanced inherent ability of structural health monitoring (SHM) where a large am...
N. Almasri, A. Sadhu, S. Chaudhuri
semanticscholar   +1 more source

Running discrete cosine transform

Journal of Biomedical Engineering, 1992
The discrete cosine transform (DCT) has become an important tool in digital signal processing because its performance is close to the optimal Karhunen-Loeve transform. In this work the running discrete cosine transform (RDCT) is introduced. Using the properties of the discrete Fourier transform kernel W = exp (-2 pi j/N), a fast recursive algorithm was
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Canonical transformations of the discrete cosine transform

Signal Processing, 2007
We provide different transformation formulae between the different discrete cosine transform (DCT) types of the same size. The transformations use only diagonal and special lower/upper triangular matrices that minimize the overhead of transformation. These transformations provide a tool for using any of the DCT types as a core module for computing all ...
openaire   +1 more source