R
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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Journal ArticleDOI
A DCT Approximation for Image Compression
Renato J. Cintra,Fábio M. Bayer +1 more
TL;DR: An orthogonal approximation for the 8-point discrete cosine transform (DCT) is introduced, and could outperform state-of-the-art algorithms in low and high image compression scenarios, exhibiting at the same time a comparable computational complexity.
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Hypothesis Testing in Speckled Data With Stochastic Distances
TL;DR: This paper derives and compares eight stochastic distances and assesses the performance of hypothesis tests that employ them and maximum likelihood estimation, concluding that tests based on the triangular distance have the closest empirical size to the theoretical one, while thosebased on the arithmetic-geometric distances have the best power.
Journal ArticleDOI
Improved 8-Point Approximate DCT for Image and Video Compression Requiring Only 14 Additions
Uma Potluri,Arjuna Madanayake,Renato J. Cintra,Fábio M. Bayer,Sunera Kulasekera,Amila Edirisuriya +5 more
TL;DR: A novel 8-point DCT approximation that requires only 14 addition operations and no multiplications is introduced and is compared to state-of-the-art DCT approximations in terms of both algorithm complexity and peak signal-to-noise ratio.
Journal ArticleDOI
Improved 8-point Approximate DCT for Image and Video Compression Requiring Only 14 Additions
Uma Potluri,Arjuna Madanayake,Renato J. Cintra,Fábio M. Bayer,Sunera Kulasekera,Amila Edirisuriya +5 more
TL;DR: In this article, the authors proposed an 8-point DCT approximation that requires only 14 addition operations and no multiplications, compared to state-of-the-art DCT approximations in terms of both algorithm complexity and peak signal-to-noise ratio.
Journal ArticleDOI
DCT-like transform for image compression requires 14 additions only
Fábio M. Bayer,Renato J. Cintra +1 more
TL;DR: In this article, a low-complexity 8-point orthogonal approximate discrete cosine transform (DCT) is introduced. But the proposed transform requires no multiplications or bit-shift operations.