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Renato J. Cintra
Researcher at Federal University of Pernambuco
Publications - 157
Citations - 2739
Renato J. Cintra is an academic researcher from Federal University of Pernambuco. The author has contributed to research in topics: Discrete cosine transform & Image compression. The author has an hindex of 25, co-authored 150 publications receiving 2284 citations. Previous affiliations of Renato J. Cintra include University of Akron & University of Lyon.
Papers
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Proceedings ArticleDOI
Low-Complexity Real-Time Light Field Compression using 4-D Approximate DCT
Namalka Liyanage,Chamith Wijenayake,Chamira U. S. Edussooriya,Arjuna Madanayake,Renato J. Cintra,Eliathamby Ambikairajah +5 more
TL;DR: A low-complexity codec and a hardware architecture are proposed for achieving real-time compression of four-dimensional (4-D) light field (LF) signals captured from camera/lenslet arrays using the 4-D extension of the 2-D 8×8 approximate discrete cosine transform (ADCT) that has recently appeared in the literature.
Journal ArticleDOI
Multidimensional Wavelets for Scalable Image Decomposition: Orbital Wavelets
TL;DR: New orbital 2D-wavelets are introduced for the decomposition of still images, showing that it is possible to perform an analysis simultaneous in two distinct scales.
Journal ArticleDOI
Robust image watermarking using non-regular wavelets
Renato J. Cintra,Todor Cooklev +1 more
TL;DR: In this paper, an approach to watermarking digital images using non-regular wavelets is presented, which leads at the same time to increased image quality and increased robustness with respect to lossy compression.
Posted Content
Fast Finite Field Hartley Transforms Based on Hadamard Decomposition.
TL;DR: The proposed fast algorithms are based on successive decompositions of the finite field Hartley transform by means of Hadamard-Walsh transforms (HWT), which meet the lower bound on the multiplicative complexity for all the cases investigated.
Proceedings ArticleDOI
A Parallel Method for the Computation of Matrix Exponential Based on Truncated Neumann Series
Vassil S. Dimitrov,Viduneth Ariyarathna,Diego F. G. Coelho,Logan Rakai,Arjuna Madanayake,Renato J. Cintra +5 more
TL;DR: A new method for computing matrix exponential based on truncated Neumann series based on smart factorizations for evaluation of several Neumannseries that can be done in parallel and divided across different processors with low communication overhead is introduced.