163 citations · 1.5k across the 45 of their papers we have counts for
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Extensions on Low-complexity DCT Approximations for Larger Blocklengths Based on Minimal Angle Similarity
A. P. Radünz, L. Portella, R. S. Oliveira +2
The discrete cosine transform (DCT) is a central tool for image and video coding because it can be related to the Karhunen-Loève transform (KLT), which is the optimal transform in…
Low-complexity Multidimensional DCT Approximations
V. A. Coutinho, R. J. Cintra, F. M. Bayer
In this paper, we introduce low-complexity multidimensional discrete cosine transform (DCT) approximations. Three dimensional DCT (3D DCT) approximations are formalized in terms of…
Low-Complexity Loeffler DCT Approximations for Image and Video Coding
D. F. G. Coelho, R. J. Cintra, F. M. Bayer +6
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 wa…
Wavelength-Resolution SAR Ground Scene Prediction Based on Image Stack
B. G. Palm, D. I. Alves, M. I. Pettersson +6
This paper presents five different statistical methods for ground scene prediction (GSP) in wavelength-resolution synthetic aperture radar (SAR) images. The GSP image can be used a…
Autoregressive Model for Multi-Pass SAR Change Detection Based on Image Stacks
B. G. Palm, D. I. Alves, V. T. Vu +6
Change detection is an important synthetic aperture radar (SAR) application, usually used to detect changes on the ground scene measurements in different moments in time. Tradition…
A Class of Low-complexity DCT-like Transforms for Image and Video Coding
T. L. T. da Silveira, D. R. Canterle, D. F. G. Coelho +3
The discrete cosine transform (DCT) is a relevant tool in signal processing applications, mainly known for its good decorrelation properties. Current image and video coding standar…
Data-independent Low-complexity KLT Approximations for Image and Video Coding
A. P. Radünz, T. L. T. da Silveira, F. M. Bayer +1
The Karhunen-Loève transform (KLT) is often used for data decorrelation and dimensionality reduction. The KLT is able to optimally retain the signal energy in only few transform co…
Low-complexity 8-point DCT Approximation Based on Angle Similarity for Image and Video Coding
R. S. Oliveira, R. J. Cintra, F. M. Bayer +3
The principal component analysis (PCA) is widely used for data decorrelation and dimensionality reduction. However, the use of PCA may be impractical in real-time applications, or…