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Cristóvão Cruz

Also published under: Cristovao Cruz

Publications
7
Citations
932
Publications by Year
20142021
Co-Authors:
Show All Co-Authors (88)
Image of author Cristóvão Cruz

Cristóvão Cruz

Also published under: Cristovao Cruz

Affiliation

Noiseless Imaging Ltd, Tampere, Finland

Publication Topics

Biography

Cristóvão Cruz received the master’s degree in electronic and telecommunications engineering with the University of Aveiro in 2014. He is currently pursuing the Ph.D. degree in computing and electrical engineering with the Tampere University of Technology. He is also with Noiseless Imaging Oy Ltd., as an Algorithms Engineer. His current research is focused on the design and implementation of image restoration algorithms.(Based on document published on 4 December 2017).
Publications
7
Citations
932
Publications by Year
20142021
Co-Authors:
Show All Co-Authors (88)
Author's Published Works

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Flashlight CNN Image Denoising

Pham Huu Thanh Binh;Cristóvão Cruz;Karen Egiazarian

2020 28th European Signal Processing Conference (EUSIPCO)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
This paper proposes a learning-based denoising method called FlashLight CNN (FLCNN) that implements a deep neural network for image denoising. The proposed approach is based on deep residual networks and inception networks and it is able to leverage many more parameters than residual networks alone for denoising grayscale images corrupted by additive white Gaussian noise (AWGN). FlashLight CNN dem...Show More

Flashlight CNN Image Denoising

Pham Huu Thanh Binh;Cristóvão Cruz;Karen Egiazarian

Year: 2021 | Conference Paper |

Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising

Cristóvão Cruz;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

IEEE Signal Processing Letters
Year: 2018 | Volume: 25, Issue: 8 | Journal Article |
Cited by: Papers (95)
We introduce a paradigm for nonlocal sparsity reinforced deep convolutional neural network denoising. It is a combination of a local multiscale denoising by a convolutional neural network (CNN) based denoiser and a nonlocal denoising based on a nonlocal filter (NLF), exploiting the mutual similarities between groups of patches. CNN models are leveraged with noise levels that progressively decrease...Show More

Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising

Cristóvão Cruz;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

Year: 2018 | Volume: 25, Issue: 8 | Journal Article |

Single Image Super-Resolution Based on Wiener Filter in Similarity Domain

Cristóvão Cruz;Rakesh Mehta;Vladimir Katkovnik;Karen O. Egiazarian

IEEE Transactions on Image Processing
Year: 2018 | Volume: 27, Issue: 3 | Journal Article |
Cited by: Papers (60)
Single image super-resolution (SISR) is an ill-posed problem aiming at estimating a plausible high-resolution (HR) image from a single low-resolution image. Current state-of-the-art SISR methods are patch-based. They use either external data or internal self-similarity to learn a prior for an HR image. External data-based methods utilize a large number of patches from the training data, while self...Show More

Single Image Super-Resolution Based on Wiener Filter in Similarity Domain

Cristóvão Cruz;Rakesh Mehta;Vladimir Katkovnik;Karen O. Egiazarian

Year: 2018 | Volume: 27, Issue: 3 | Journal Article |

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang;Lei Zhang;Bee Lim;Sanghyun Son;Heewon Kim;Seungjun Nah;Kyoung Mu Lee;Xintao Wang;Yapeng Tian;Ke Yu;Yulun Zhang;Shixiang Wu;Chao Dong;Liang Lin;Yu Qiao;Chen Change Loy;Woong Bae;Jaejun Yoo;Yoseob Han;Jong Chul Ye;Jae-Seok Choi;Munchurl Kim;Yuchen Fan;Jiahui Yu;Wei Han;Ding Liu;Haichao Yu;Zhangyang Wang;Honghui Shi;Xinchao Wang;Thomas S. Huang;Yunjin Chen;Kai Zhang;Wangmeng Zuo;Zhimin Tang;Linkai Luo;Shaohui Li;Min Fu;Lei Cao;Wen Heng;Giang Bui;Truc Le;Ye Duan;Dacheng Tao;Ruxin Wang;Xu Lin;Jianxin Pang;Jinchang Xu;Yu Zhao;Xiangyu Xu;Jinshan Pan;Deqing Sun;Yujin Zhang;Xibin Song;Yuchao Dai;Xueying Qin;Xuan-Phung Huynh;Tiantong Guo;Hojjat Seyed Mousavi;Tiep Huu Vu;Vishal Monga;Cristovao Cruz;Karen Egiazarian;Vladimir Katkovnik;Rakesh Mehta;Arnav Kumar Jain;Abhinav Agarwalla;Ch V. Sai Praveen;Ruofan Zhou;Hongdiao Wen;Che Zhu;Zhiqiang Xia;Zhengtao Wang;Qi Guo

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2017 | Conference Paper |
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 ...Show More

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang;Lei Zhang;Bee Lim;Sanghyun Son;Heewon Kim;Seungjun Nah;Kyoung Mu Lee;Xintao Wang;Yapeng Tian;Ke Yu;Yulun Zhang;Shixiang Wu;Chao Dong;Liang Lin;Yu Qiao;Chen Change Loy;Woong Bae;Jaejun Yoo;Yoseob Han;Jong Chul Ye;Jae-Seok Choi;Munchurl Kim;Yuchen Fan;Jiahui Yu;Wei Han;Ding Liu;Haichao Yu;Zhangyang Wang;Honghui Shi;Xinchao Wang;Thomas S. Huang;Yunjin Chen;Kai Zhang;Wangmeng Zuo;Zhimin Tang;Linkai Luo;Shaohui Li;Min Fu;Lei Cao;Wen Heng;Giang Bui;Truc Le;Ye Duan;Dacheng Tao;Ruxin Wang;Xu Lin;Jianxin Pang;Jinchang Xu;Yu Zhao;Xiangyu Xu;Jinshan Pan;Deqing Sun;Yujin Zhang;Xibin Song;Yuchao Dai;Xueying Qin;Xuan-Phung Huynh;Tiantong Guo;Hojjat Seyed Mousavi;Tiep Huu Vu;Vishal Monga;Cristovao Cruz;Karen Egiazarian;Vladimir Katkovnik;Rakesh Mehta;Arnav Kumar Jain;Abhinav Agarwalla;Ch V. Sai Praveen;Ruofan Zhou;Hongdiao Wen;Che Zhu;Zhiqiang Xia;Zhengtao Wang;Qi Guo

Year: 2017 | Conference Paper |

OpenCL programmable exposed datapath high performance low-power image signal processor

Joonas Multanen;Heikki Kultala;Matias Koskela;Timo Viitanen;Pekka Jääskelainen;Jarmo Takala;Aram Danielyan;Cristóvão Cruz

2016 IEEE Nordic Circuits and Systems Conference (NORCAS)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
Sophisticated computational imaging algorithms require both high performance and good energy-efficiency when executed on mobile devices. Recent trend has been to exploit the abundant data-level parallelism found in general purpose programmable GPUs. However, for low-power mobile use cases, generic GPUs consume excessive amounts of power. This paper proposes a programmable computational imaging pro...Show More

OpenCL programmable exposed datapath high performance low-power image signal processor

Joonas Multanen;Heikki Kultala;Matias Koskela;Timo Viitanen;Pekka Jääskelainen;Jarmo Takala;Aram Danielyan;Cristóvão Cruz

Year: 2016 | Conference Paper |

Supporting Deterministic Medium Access Control in Wireless Vehicular Communications

Cristovao Cruz;Joaquim Ferreira;Arnaldo Oliveira

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
The medium access is regarded as being one of the most challenging issues to solve in order to provide de- terministic wireless communications in vehicular networks. It has been demonstrated that standard protocols fail to properly address this issue. The implementation of deterministic Medium Access Control (MAC) protocols is hampered by the fact that commercial devices do not allow modifications...Show More

Supporting Deterministic Medium Access Control in Wireless Vehicular Communications

Cristovao Cruz;Joaquim Ferreira;Arnaldo Oliveira

Year: 2015 | Conference Paper |

Poster: Implementing deterministic vehicular communications: Rationale and challenges

Cristóvão Cruz;Arnaldo Oliveira;Joaquim Ferreira;João Matos

2014 IEEE Vehicular Networking Conference (VNC)
Year: 2014 | Conference Paper |
The medium access is regarded as being one of the most challenging issues to solve in order to provide deterministic wireless communications in vehicular networks. Standard protocols have been shown to fail in addressing this issue and some possible solutions are being proposed, but despite the difficulty of correctly modeling the channel dynamics, most work on Medium Access Control (MAC) protocol...Show More

Poster: Implementing deterministic vehicular communications: Rationale and challenges

Cristóvão Cruz;Arnaldo Oliveira;Joaquim Ferreira;João Matos

Year: 2014 | Conference Paper |

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