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Thangka super-resolution diffusion model based on discrete cosine transform domain padding upsampling and high-frequency focused attention. [PDF]
Chen X +5 more
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DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection
IEEE Transactions on Knowledge and Data Engineering, 2023Time series anomaly detection (TSAD) is an essential problem faced in several fields, e.g., fault detection, fraud detection, and intrusion detection, etc.
Yifan Li +4 more
semanticscholar +1 more source
Digit. Signal Process., 2021
This study proposes a novel blind watermarking algorithm based on radial harmonic Fourier moments (RHFMs) as well as discrete wavelet transform and discrete cosine transform (DWT-DCT) to achieve copyright protection.
Zhen-yu Li +4 more
semanticscholar +1 more source
This study proposes a novel blind watermarking algorithm based on radial harmonic Fourier moments (RHFMs) as well as discrete wavelet transform and discrete cosine transform (DWT-DCT) to achieve copyright protection.
Zhen-yu Li +4 more
semanticscholar +1 more source
Robust and blind image watermarking in DCT domain using inter-block coefficient correlation
Information Sciences, 2020This study presents a robust and transparent watermarking method that exploits block-based discrete cosine transform (DCT) coefficient modification. The difference in the DCT coefficients of two blocks is calculated and modified based on the watermark ...
Hung-Jui Ko +3 more
semanticscholar +1 more source
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2020
An ultra-low quiescent current dual-mode buck converter system is designed for IoT application, which includes a double clock time (DCT) and a pulse-width-modulation (PWM) control modes.
Wen-Liang Zeng +6 more
semanticscholar +1 more source
An ultra-low quiescent current dual-mode buck converter system is designed for IoT application, which includes a double clock time (DCT) and a pulse-width-modulation (PWM) control modes.
Wen-Liang Zeng +6 more
semanticscholar +1 more source
Gradient-DCT (G-DCT) descriptors
2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA), 2014Many feature-based object detectors have shown that the use of gradient image information can be a very efficient way to describe the appearance of objects. Especially, the gradient sizes, directions and histograms are commonly used. In this area, the histogram of oriented gradients (HOG) is considered as the state-of-the-art method. The histograms and
Radovan Fusek, Eduard Sojka
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International Journal of Wavelets, Multiresolution and Information Processing, 2007
It is well known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follows a Laplace distribution. In this note, using a Bayesian approach, we derive two popular models for the distribution of the actual DCT coefficient.
Nadarajah, Saralees, Kotz, Samuel
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It is well known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follows a Laplace distribution. In this note, using a Bayesian approach, we derive two popular models for the distribution of the actual DCT coefficient.
Nadarajah, Saralees, Kotz, Samuel
openaire +1 more source

