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Javier Vazquez-Corral - IEEE Xplore Author Profile
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Javier Vazquez-Corral

Publications
20
Citations
437
Publications by Year
20122024
Co-Authors:
Show All Co-Authors (160)
Image of author Javier Vazquez-Corral

Javier Vazquez-Corral

Affiliation

Computer Vision Center & Universidad Autónoma de Barcelona, Barcelona, Spain

Publication Topics

Biography

Javier Vazquez-Corral received the Ph.D. degree in computer science from the Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain, in 2011.,He is a Research Assistant with the Department of Computer Science, UAB, and is attached with the Computer Vision Center as a Researcher. His research interests are related to the use of color in computer vision problems, particularly color constancy and color representation. He is also interested in bridging the gap between color in the human brain and its use in computer-vision applications.(Based on document published on 13 October 2011).
Publications
20
Citations
437
Publications by Year
20122024
Co-Authors:
Show All Co-Authors (160)
Author's Published Works

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Palette-Based Color Harmonization via Color Naming

Danna Xue;Javier Vazquez-Corral;Luis Herranz;Yanning Zhang;Michael S. Brown

IEEE Signal Processing Letters
Year: 2024 | Volume: 31 | Journal Article |
Color harmony refers to combinations of colors that look pleasing together. We present a novel strategy to harmonize an image's colors using color-palette manipulation and color naming. Palette-based color manipulation is a method that extracts a few colors to represent the image. Modifying the palette colors modifies the color appearance of the image. A color-naming model is a mechanism to catego...Show More

Palette-Based Color Harmonization via Color Naming

Danna Xue;Javier Vazquez-Corral;Luis Herranz;Yanning Zhang;Michael S. Brown

Year: 2024 | Volume: 31 | Journal Article |

NTIRE 2023 Challenge on Image Denoising: Methods and Results

Yawei Li;Yulun Zhang;Radu Timofte;Luc Van Gool;Zhijun Tu;Kunpeng Du;Hailing Wang;Hanting Chen;Wei Li;Xiaofei Wang;Jie Hu;Yunhe Wang;Xiangyu Kong;Jinlong Wu;Dafeng Zhang;Jianxing Zhang;Shuai Liu;Furui Bai;Chaoyu Feng;Hao Wang;Yuqian Zhang;Guangqi Shao;Xiaotao Wang;Lei Lei;Rongjian Xu;Zhilu Zhang;Yunjin Chen;Dongwei Ren;Wangmeng Zuo;Qi Wu;Mingyan Han;Shen Cheng;Haipeng Li;Ting Jiang;Chengzhi Jiang;Xinpeng Li;Jinting Luo;Wenjie Lin;Lei Yu;Haoqiang Fan;Shuaicheng Liu;Aditya Arora;Syed Waqas Zamir;Javier Vazquez-Corral;Konstantinos G. Derpanis;Michael S. Brown;Hao Li;Zhihao Zhao;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Bo Yang;Jingxiang Chen;Chenghua Li;Xi Zhang;Zhao Zhang;Jiahuan Ren;Zhicheng Ji;Kang Miao;Suiyi Zhao;Huan Zheng;YanYan Wei;Kangliang Liu;Xiangcheng Du;Sijie Liu;Yingbin Zheng;Xingjiao Wu;Cheng Jin;Rajeev Irny;Sriharsha Koundinya;Vighnesh Kamath;Gaurav Khandelwal;Sunder Ali Khowaja;Jiseok Yoon;Ik Hyun Lee;Shijie Chen;Chengqiang Zhao;Huabin Yang;Zhongjian Zhang;Junjia Huang;Yanru Zhang

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (31)
This paper reviews the NTIRE 2023 challenge on image denoising (σ = 50) with a focus on the proposed solutions and results. The aim is to obtain a network design capable to produce high-quality results with the best performance measured by PSNR for image denoising. Independent additive white Gaussian noise (AWGN) is assumed and the noise level is 50. The challenge had 225 registered participants, ...Show More

NTIRE 2023 Challenge on Image Denoising: Methods and Results

Yawei Li;Yulun Zhang;Radu Timofte;Luc Van Gool;Zhijun Tu;Kunpeng Du;Hailing Wang;Hanting Chen;Wei Li;Xiaofei Wang;Jie Hu;Yunhe Wang;Xiangyu Kong;Jinlong Wu;Dafeng Zhang;Jianxing Zhang;Shuai Liu;Furui Bai;Chaoyu Feng;Hao Wang;Yuqian Zhang;Guangqi Shao;Xiaotao Wang;Lei Lei;Rongjian Xu;Zhilu Zhang;Yunjin Chen;Dongwei Ren;Wangmeng Zuo;Qi Wu;Mingyan Han;Shen Cheng;Haipeng Li;Ting Jiang;Chengzhi Jiang;Xinpeng Li;Jinting Luo;Wenjie Lin;Lei Yu;Haoqiang Fan;Shuaicheng Liu;Aditya Arora;Syed Waqas Zamir;Javier Vazquez-Corral;Konstantinos G. Derpanis;Michael S. Brown;Hao Li;Zhihao Zhao;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Bo Yang;Jingxiang Chen;Chenghua Li;Xi Zhang;Zhao Zhang;Jiahuan Ren;Zhicheng Ji;Kang Miao;Suiyi Zhao;Huan Zheng;YanYan Wei;Kangliang Liu;Xiangcheng Du;Sijie Liu;Yingbin Zheng;Xingjiao Wu;Cheng Jin;Rajeev Irny;Sriharsha Koundinya;Vighnesh Kamath;Gaurav Khandelwal;Sunder Ali Khowaja;Jiseok Yoon;Ik Hyun Lee;Shijie Chen;Chengqiang Zhao;Huabin Yang;Zhongjian Zhang;Junjia Huang;Yanru Zhang

Year: 2023 | Conference Paper |

Perceptual Image Enhancement for Smartphone Real-Time Applications

Marcos V. Conde;Florin Vasluianu;Javier Vazquez-Corral;Radu Timofte

2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Year: 2023 | Conference Paper |
Cited by: Papers (20)
Recent advances in camera designs and imaging pipelines allow us to capture high-quality images using smartphones. However, due to the small size and lens limitations of the smartphone cameras, we commonly find artifacts or degradation in the processed images. The most common unpleasant effects are noise artifacts, diffraction artifacts, blur, and HDR overexposure. Deep learning methods for image ...Show More

Perceptual Image Enhancement for Smartphone Real-Time Applications

Marcos V. Conde;Florin Vasluianu;Javier Vazquez-Corral;Radu Timofte

Year: 2023 | Conference Paper |

Image Quality Evaluation in Professional HDR/WCG Production Questions the Need for HDR Metrics

Yasuko Sugito;Javier Vazquez-Corral;Trevor Canham;Marcelo Bertalmío

IEEE Transactions on Image Processing
Year: 2022 | Volume: 31 | Journal Article |
Cited by: Papers (4)
In the quality evaluation of high dynamic range and wide color gamut (HDR/WCG) images, a number of works have concluded that native HDR metrics, such as HDR visual difference predictor (HDR-VDP), HDR video quality metric (HDR-VQM), or convolutional neural network (CNN)-based visibility metrics for HDR content, provide the best results. These metrics consider only the luminance component, but sever...Show More

Image Quality Evaluation in Professional HDR/WCG Production Questions the Need for HDR Metrics

Yasuko Sugito;Javier Vazquez-Corral;Trevor Canham;Marcelo Bertalmío

Year: 2022 | Volume: 31 | Journal Article |

Vision Models for Wide Color Gamut Imaging in Cinema

Syed Waqas Zamir;Javier Vazquez-Corral;Marcelo Bertalmío

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2021 | Volume: 43, Issue: 5 | Journal Article |
Cited by: Papers (14)
Gamut mapping is the problem of transforming the colors of image or video content so as to fully exploit the color palette of the display device where the content will be shown, while preserving the artistic intent of the original content’s creator. In particular, in the cinema industry, the rapid advancement in display technologies has created a pressing need to develop automatic and fast gamut m...Show More

Vision Models for Wide Color Gamut Imaging in Cinema

Syed Waqas Zamir;Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2021 | Volume: 43, Issue: 5 | Journal Article |

Color Stabilization for Multi-Camera Light-Field Imaging

Olivier Vu Thanh;Trevor Canham;Javier Vazquez-Corral;Raquel Gil Rodríguez;Marcelo Bertalmío

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2020 | Conference Paper |
By capturing a more complete rendition of scene light than standard 2D cameras, light-field technology represents an important step towards closing the gap between live action cinematography and computer graphics. Light-field cameras accomplish this by simultaneously capturing the same scene under different angular configurations, providing directional information that allows for a multitude of po...Show More

Color Stabilization for Multi-Camera Light-Field Imaging

Olivier Vu Thanh;Trevor Canham;Javier Vazquez-Corral;Raquel Gil Rodríguez;Marcelo Bertalmío

Year: 2020 | Conference Paper |

Color Matching Images With Unknown Non-Linear Encodings

Raquel Gil Rodríguez;Javier Vazquez-Corral;Marcelo Bertalmío

IEEE Transactions on Image Processing
Year: 2020 | Volume: 29 | Journal Article |
Cited by: Papers (12)
We present a color matching method that deals with different non-linear encodings. In particular, given two different views of the same scene taken by two cameras with unknown settings and internal parameters, and encoded with unknown non-linear curves, our method is able to correct the colors of one of the images making it look as if it was captured under the other camera's settings. Our method i...Show More

Color Matching Images With Unknown Non-Linear Encodings

Raquel Gil Rodríguez;Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2020 | Volume: 29 | Journal Article |

Convolutional Neural Networks Can Be Deceived by Visual Illusions

Alexander Gomez-Villa;Adrian Martín;Javier Vazquez-Corral;Marcelo Bertalmío

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019 | Conference Paper |
Cited by: Papers (12)
Visual illusions teach us that what we see is not always what is represented in the physical world. Their special nature make them a fascinating tool to test and validate any new vision model proposed. In general, current vision models are based on the concatenation of linear and non-linear operations. The similarity of this structure with the operations present in Convolutional Neural Networks (C...Show More

Convolutional Neural Networks Can Be Deceived by Visual Illusions

Alexander Gomez-Villa;Adrian Martín;Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2019 | Conference Paper |

NTIRE 2018 Challenge on Image Dehazing: Methods and Results

Cosmin Ancuti;Codruta O. Ancuti;Radu Timofte;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Vishal M. Patel;He Zhang;Vishwanath A. Sindagi;Ruhao Zhao;Xiaoping Ma;Yong Qin;Limin Jia;Klaus Friedel;Sehwan Ki;Hyeonjun Sim;Jae-Seok Choi;Sooye Kim;Soomin Seo;Saehun Kim;Munchurl Kim;Ranjan Mondal;Sanchayan Santra;Bhabatosh Chanda;Jinlin Liu;Kangfu Mei;Juncheng Li;Luyao;Faming Fang;Aiwen Jiang;Xiaochao Qu;Ting Liu;Pengfei Wang;Biao Sun;Jiangfan Deng;Yuhang Zhao;Ming Hong;Jingying Huang;Yizhi Chen;Erin Chen;Xiaoli Yu;Tingting Wu;Anil Genc;Deniz Engin;Hazim Kemal Ekenel;Wenzhe Liu;Tong Tong;Gen Li;Qinquan Gao;Zhan Li;Daofa Tang;Yuling Chen;Ziying Huo;Aitor Alvarez-Gila;Adrian Galdran;Alessandro Bria;Javier Vazquez-Corral;Marcelo Bertalmo;H. Seckin Demir;Omer Faruk Adil;Huynh Xuan Phung;Xin Jin;Jiale Chen;Chaowei Shan;Zhibo Chen

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2018 | Conference Paper |
Cited by: Papers (87)
This paper reviews the first challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results. The challenge had 2 tracks. Track 1 employed the indoor images (using I-HAZE dataset), while Track 2 outdoor images (using O-HAZE dataset). The hazy images have been captured in presence of real haze, generated by professional haze machines. I-HAZE data...Show More

NTIRE 2018 Challenge on Image Dehazing: Methods and Results

Cosmin Ancuti;Codruta O. Ancuti;Radu Timofte;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Vishal M. Patel;He Zhang;Vishwanath A. Sindagi;Ruhao Zhao;Xiaoping Ma;Yong Qin;Limin Jia;Klaus Friedel;Sehwan Ki;Hyeonjun Sim;Jae-Seok Choi;Sooye Kim;Soomin Seo;Saehun Kim;Munchurl Kim;Ranjan Mondal;Sanchayan Santra;Bhabatosh Chanda;Jinlin Liu;Kangfu Mei;Juncheng Li;Luyao;Faming Fang;Aiwen Jiang;Xiaochao Qu;Ting Liu;Pengfei Wang;Biao Sun;Jiangfan Deng;Yuhang Zhao;Ming Hong;Jingying Huang;Yizhi Chen;Erin Chen;Xiaoli Yu;Tingting Wu;Anil Genc;Deniz Engin;Hazim Kemal Ekenel;Wenzhe Liu;Tong Tong;Gen Li;Qinquan Gao;Zhan Li;Daofa Tang;Yuling Chen;Ziying Huo;Aitor Alvarez-Gila;Adrian Galdran;Alessandro Bria;Javier Vazquez-Corral;Marcelo Bertalmo;H. Seckin Demir;Omer Faruk Adil;Huynh Xuan Phung;Xin Jin;Jiale Chen;Chaowei Shan;Zhibo Chen

Year: 2018 | Conference Paper |

On the Duality Between Retinex and Image Dehazing

Adrian Galdran;Alessandro Bria;Aitor Alvarez-Gila;Javier Vazquez-Corral;Marcelo Bertalmío

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018 | Conference Paper |
Cited by: Papers (91)
Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Human Visual System to robustly discount varying illuminations when observing a scene under different spectral lighting conditions. Retinex has been widely explored in the computer vision literature for image enhancement an...Show More

On the Duality Between Retinex and Image Dehazing

Adrian Galdran;Alessandro Bria;Aitor Alvarez-Gila;Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2018 | Conference Paper |

Weakly Supervised Fog Detection

Adrian Galdran;Pedro Costa;Javier Vazquez-Corral;Aurélio Campilho

2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Image dehazing tries to solve an undesired loss of visibility in outdoor images due to the presence of fog. Recently, machine-learning techniques have shown great dehazing ability. However, in order to be trained, they require training sets with pairs of foggy images and their clean counterparts, or a depth-map. In this paper, we propose to learn the appearance of fog from weakly-labeled data. Spe...Show More

Weakly Supervised Fog Detection

Adrian Galdran;Pedro Costa;Javier Vazquez-Corral;Aurélio Campilho

Year: 2018 | Conference Paper |

Angular-Based Preprocessing for Image Denoising

Javier Vazquez-Corral;Marcelo Bertalmío

IEEE Signal Processing Letters
Year: 2018 | Volume: 25, Issue: 2 | Journal Article |
Cited by: Papers (9)
There is not a large research on how to use color information for improving results in image denoising. Currently, most of the methods modify the color space from standard red green blue (sRGB) to an opponent-like one as better results are obtained, but out of this conversion, color is mostly ignored in the image denoising pipelines. In this letter, we propose a color decomposition to preprocess a...Show More

Angular-Based Preprocessing for Image Denoising

Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2018 | Volume: 25, Issue: 2 | Journal Article |

Gamut Extension for Cinema

Syed Waqas Zamir;Javier Vazquez-Corral;Marcelo Bertalmío

IEEE Transactions on Image Processing
Year: 2017 | Volume: 26, Issue: 4 | Journal Article |
Cited by: Papers (16)
Emerging display technologies are able to produce images with a much wider color gamut than those of conventional distribution gamuts for cinema and TV, creating an opportunity for the development of gamut extension algorithms (GEAs) that exploit the full color potential of these new systems. In this paper, we present a novel GEA, implemented as a PDE-based optimization procedure related to visual...Show More

Gamut Extension for Cinema

Syed Waqas Zamir;Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2017 | Volume: 26, Issue: 4 | Journal Article |

Fusion-Based Variational Image Dehazing

Adrian Galdran;Javier Vazquez-Corral;David Pardo;Marcelo Bertalmío

IEEE Signal Processing Letters
Year: 2017 | Volume: 24, Issue: 2 | Journal Article |
Cited by: Papers (49)
We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusion-based variational image-dehazing (FVID) method is a spatially varying image enhancement process that first minimizes a previously proposed variational formulation that maximizes contrast and saturation on the hazy input...Show More

Fusion-Based Variational Image Dehazing

Adrian Galdran;Javier Vazquez-Corral;David Pardo;Marcelo Bertalmío

Year: 2017 | Volume: 24, Issue: 2 | Journal Article |

Log-encoding estimation for color stabilization of cinematic footage

Javier Vazquez-Corral;Marcelo Bertalmío

2016 IEEE International Conference on Image Processing (ICIP)
Year: 2016 | Conference Paper |
Cited by: Papers (5)
We propose a method for the color stabilization of cinema shots coming from different cameras that use unknown logarithmic encoding curves. The log-encoding curves are approximated by a concatenation of gamma-curves, whose values are accurately computed using image matches. The color stabilization procedure, based on the generic color processing pipeline of a digital camera, can be performed after...Show More

Log-encoding estimation for color stabilization of cinematic footage

Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2016 | Conference Paper |

Simultaneous Blind Gamma Estimation

Javier Vazquez-Corral;Marcelo Bertalmío

IEEE Signal Processing Letters
Year: 2015 | Volume: 22, Issue: 9 | Journal Article |
Cited by: Papers (11)
Blind gamma estimation is the problem of estimating the gamma function that is applied to a linear image both for perceptual reasons and for the compensation of the non-linear behavior of displays. Gamma values change both inter- and intra-camera. In the latter case, the change comes from the use of different scene settings. In this letter we propose a new approach that relies on the use of more t...Show More

Simultaneous Blind Gamma Estimation

Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2015 | Volume: 22, Issue: 9 | Journal Article |

Color Stabilization Along Time and Across Shots of the Same Scene, for One or Several Cameras of Unknown Specifications

Javier Vazquez-Corral;Marcelo Bertalmío

IEEE Transactions on Image Processing
Year: 2014 | Volume: 23, Issue: 10 | Journal Article |
Cited by: Papers (26)
We propose a method for color stabilization of shots of the same scene, taken under the same illumination, where one image is chosen as reference and one or several other images are modified so that their colors match those of the reference. We make use of two crucial but often overlooked observations: first, that the core of the color correction chain in a digital camera is simply a multiplicatio...Show More

Color Stabilization Along Time and Across Shots of the Same Scene, for One or Several Cameras of Unknown Specifications

Javier Vazquez-Corral;Marcelo Bertalmío

Year: 2014 | Volume: 23, Issue: 10 | Journal Article |

Gamut Mapping in Cinematography Through Perceptually-Based Contrast Modification

Syed Waqas Zamir;Javier Vazquez-Corral;Marcelo Bertalmı´o

IEEE Journal of Selected Topics in Signal Processing
Year: 2014 | Volume: 8, Issue: 3 | Journal Article |
Cited by: Papers (22)
Gamut mapping transforms the colors of an input image to the colors of a target device so as to exploit the full potential of the rendering device in terms of color rendition. In this paper we present spatial gamut mapping algorithms that rely on a perceptually-based variational framework. Our algorithms adapt a well-known image energy functional whose minimization leads to image enhancement and c...Show More

Gamut Mapping in Cinematography Through Perceptually-Based Contrast Modification

Syed Waqas Zamir;Javier Vazquez-Corral;Marcelo Bertalmı´o

Year: 2014 | Volume: 8, Issue: 3 | Journal Article |

Color Constancy by Category Correlation

Javier Vazquez-Corral;Maria Vanrell;Ramon Baldrich;Francesc Tous

IEEE Transactions on Image Processing
Year: 2012 | Volume: 21, Issue: 4 | Journal Article |
Finding color representations that are stable to illuminant changes is still an open problem in computer vision. Until now, most approaches have been based on physical constraints or statistical assumptions derived from the scene, whereas very little attention has been paid to the effects that selected illuminants have on the final color image representation. The novelty of this paper is to propos...Show More

Color Constancy by Category Correlation

Javier Vazquez-Corral;Maria Vanrell;Ramon Baldrich;Francesc Tous

Year: 2012 | Volume: 21, Issue: 4 | Journal Article |

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