Welcome to EUVIP 2023

The 11th European Workshop on Visual Information Processing will be held on 11th-14th September 2023, in Gjøvik, Norway; the first day will be dedicated to (half-day) tutorials. The workshop will bring together leading experts from academia and industry interested in visual information processing, applications and performance assessment for all types of visual modalities. The program will feature lecture, poster and plenary sessions, as well as special sessions and tutorials.

Welcome to EUVIP 2022

The 10th European Workshop on Visual Information Processing was held on 11th-14th September 2022, in Lisbon, Portugal; the first day was dedicated to (half-day) tutorials. The workshop brought together leading experts from academia and industry interested in visual information processing, applications and performance assessment for all types of visual modalities. The the technical programme included lecture, poster and plenary sessions, as well as special sessions and tutorials.

PHOTO-2022-09-13-14-07-16-Fernando-Azeddineopenining-IMG_2004  project-dissemination-session-Nuno-Azeddine-EUVIP2022-16Sep22

Welcome to EUVIP 2021

The 9th European Workshop on Visual Information Processing (EUVIP) was held in Paris, France, 23-25 June 2021.  EUVIP 2021 was a continuation of the previous editions of workshops on visual information processing, modeling, and analysis methods inspired by the human and biological visual systems, with applications to image and video processing and communication. EUVIP 2021 offered experienced researchers an intellectually stimulating environment for discussion and interactions with their peers, encouraged early career researchers to widen their experience and horizons and guides Ph.D. students towards new research directions. The flagship theme of this edition was « Image Quality Assessment and Enhancement (IQAE) in the context of medical diagnostic imaging ».


Tutorial delivered by Prof. Azeddine Beghdadi at ICIP2020   on 25 October 2020


Title : Computational Visual Perception for Image/Video Processing : Quality Assessment and Enhancement


Over the last fifty years, research and development in image processing have been driving advances  in many high-tech areas, including medical and scientific imaging, digital cinema, computational photography, biometrics, remote sensing, among others. With the development of new imaging modalities and multimedia products, many new approaches have been proposed in this field of research. The research focus is however steadily shifting towards developing new mathematical models rather than understanding the image signal as a physical quantity and its interaction with the observer; unfortunately, the human user is often ignored in the image processing chain. Whereas, in many applications, such as diagnosis, recognition and evaluation, the human observer plays a prominent role in decision-making, based on visual assessment of images. Therefore, exploiting knowledge about the Human Visual System (HVS) in the design of multimedia processing techniques appears as a promising direction.

This tutorial provides an overview of the most recent trends and of the future research in image and video processing in a common perceptually based computational framework. The most relevant characteristics and properties of the HVS are presented on the light of the recent findings in a concise and practical way. The concepts and methods will be introduced and illustrated through various real-world applications.


Plenary talk  delivered by Prof. Azeddine Beghdadi at INMIC2020   on 6 November 2020


Title : Image Quality in the Context of Medical Imaging and Diagnosis


This talk  presents a more or less explored subject, but still quite open and complex, from the perspective that should be considered, in the world of medical imaging. It concerns the meaning and the role of objective image quality in the medical context and more specifically in computer-assisted diagnosis and surgery. Indeed, visual medical information plays a major role in diagnosis and can vary considerably in terms of quality depending on the perception of physicians.

The enormous amount of information conveyed by image sensors can suffer from various degradations, such as noise, blur, contrast saturation and various artifacts occurring during acquisition, processing and transmission, which have significant and sometimes irremediable repercussions on the reliability of the diagnosis.

This talk  provides an overview of recent developments in this field, which has become very active over the last ten years, particularly with the revival of the interest in methods and technologies based on artificial intelligence. This presentation then attempts to answer some questions related to the use of image quality assessment and enhancement concepts and tools in the context of medical imaging and medical diagnosis. Paradigms developed in this field will be discussed and approaches and methodologies in the context of collaborative and structuring projects will be presented and discussed.

Finally, a medium to long-term vision on how to develop protocols and practical means to lead to a good practice of research between physicians and researchers in the field of visual information processing will be addressed and discussed in the light of current technological and theoretical advances and particularly in deep neural networks based approaches.


We have  organized a Challenge Session at ICIP2020   in Abu Dhabi, UAE, 25-27 October 2020

Title : Real-time distortion classification in laparoscopic videos;  by A. Beghdadi et al.

Laparoscopic videos may be affected by different kinds of distortions during the surgery, resulting in a loss of visual quality. To prevent any disruptions in surgery due to video quality issues, there is a great need of having automated video enhancement systems. For any automated video enhancement system, the feedback loop plays an important part whereby any change in video quality is handled by applying the correct enhancement approach. In this feedback loop, one of the most critical steps is the identification of distortion affecting the video in real-time to allow timely application of enhancement. The purpose of this challenge is to target this problem by developing a fast, unified and effective algorithm for real-time classification of distortions within a laparoscopic video. In order to complete this challenge, we will provide our own dataset of short duration laparoscopic videos called the Laparoscopic Video Quality (LVQ) database. These videos have been carefully selected from an existing public dataset and have been distorted with either single or multiple distortions simultaneously at different levels. In total, 800 such videos would be provided out of which a sample data of 200 is already available publicly.


EUVIP logo (designed by M. L. Beghdadi, Paris, September 9, 2019)

A close-up of a blue female human eye

EUVIP Steering committee

A. Beghdadi (Chair, France); F. Alaya Cheikh (Norway); A. Bouzerdoum (Australia); A. K. Bovik (USA); S. Colonnese (Italy); M. Deriche (KSA); F. Dufaux (France); K. Egazarian (Finland); M. Gabbouj (Finland); M. C. Larabi (France); P. Le Callet (France); A. Neri (Italy); F. Pereira (Portugal); T. Pun (Switzerland); S. Voloshynovskiy (Switzerland); A. Watson (USA)


Plenary talk  delivered by Prof. Azeddine Beghdadi at IWC2019, Oran,   on 18 June  2019


Title : Quality-driven Framework an Models for Effective  Public Security and Multimedia security


Public security and data protection are among the top research priorities of many governments. Securing sensitive data and monitoring systems are more and more demanding in terms of quality, reliability and flexibility especially those dedicated to public security and particularly video surveillance based systems. This talk aims to present some challenging issues related to visual data protection and video-surveillance. The importance of taking into account the perceptual quality of the acquired visual information, through a biologically-inspired framework, is demonstrated through some real-life scenarios. Here we mainly focus and two applications: visual data watermarking and video-surveillance. I will discuss some common distortions and artefacts that may affect the quality of the acquired signal and therefore the performance of data protection and the video-surveillance systems. Some results on how to mitigate theses artifacts introduced by environment and system limitations will be also presented. Few preliminary results will be presented and discussed in the light of recent advances and current trends in the field of visual information processing.




EUVIP on dplp




CIC2019 . Workshop on Image Quality

Future Directions in Image Quality October 22, 2019.

Chairs/Conveners: Marius Pedersen and Seyed Ali Amirshahi, NTNU (Norway)

During the last few decades image quality assessment has been an important and attractive field of research. While current state-of-the-art image quality metrics show a high correlation with subjective scores, many challenges still exist. This workshop aims to bring experts from both academia and industry to introduce challenges and possible directions needed to be taken in subjective and objective image quality assessment. A discussion and Q&A session to address possible solutions for these new challenges rounds out the afternoon.

Confirmed speakers/topics:

  • Azeddine Beghdadi (Université Paris 13, Galileo Institute): image enhancement and issues on quality assessment
  • Aladine Chetouani (Université d’Orléans – Polytech’Orléans): recent trends in machine learning for image quality
  • Christophe Charrier, Université de Caen Normandie): image quality in biometrics
  • Chaker Larabi (University of Poitiers): quality assessment of xr applications
  • Claudio Greco (DxOMark Image Labs):color image quality assessment in smartphones
  • Seyed Ali Amirshahi (NTNU): future of subjective evaluation and crowdsourcing
  • Razvan Iordache (GE Healthcare France): challenges in medical image quality
  • Frédéric Dufaux (University Paris-Sud): the future of video quality metrics

VENUE AND LOGISTICS The Venue: Paris, France Centre International de Conférences Sorbonne Universités (CICSU) 4 place Jussieu, Patio 44–55 75005 Paris CICSU is in the Quartier Latin, 5e Arrondissement.   ______________________________________________________________

EUVIP2019 will take place in Roma, Italy


QOMEX2019 to be held in Berlin, Germany

Special session :  Perceptual visual information quality enhancement evaluation: challenges and opportunities

Organized by :

Azeddine Beghdadi, Marius Pedersen and Muhammad Ali Qureshi


EUVIP 2018 : a very successful event!

some photos


New book

Product Details

Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era (Signal Processing for Security Technologies) 1st ed. 2017 Edition

New Database

« Contrast Enhancement Evaluation Database (CEED2016) », Mendeley Data v2, 2017.

The associated database we developed can be downloaded from Mendeley datasets.

Lead Principal Investigator (LPI)  : Azeddine Beghdadi

Co-PI : Muhammad Qureshi, Bilel Sdiri, Mohamed Deriche, Faouzi Alaya-Cheikh

Citation : Muhammad Qureshi, Bilel Sdiri, Mohamed Deriche, Faouzi Alaya-Cheikh, Azeddine Beghdadi , « Contrast Enhancement Evaluation Database (CEED2016) »

Related publications

  • Muhammad Ali Qureshi, Azeddine Beghdadi, and Mohamed Deriche, « Towards the design of a consistent image contrast enhancement evaluation measure », Signal Processing: Image Communication, Elsevier, Volume 58, Part C, 14 August 2017, pp.212-227,  DOI: 10.1016/j.image.2017.08.004,
  • M. Qureshi, A. Beghdadi, B. Sdiri, M. Deriche, F. A. Cheikh, A Comprehensive Performance Evaluation of Objective Quality Metrics For Contrast Enhancement Techniques, in: European Workshop on Visual Information Processing (EUVIP), Marseille, France, 25-27 October 2016, pp. 1–5,
  • A. Beghdadi, M. Ali Qureshi, M. Deriche, « A critical look at some contrast enhancement evaluation measures », IEEE – CVCS2015, Gjovik, Norway, :August 25-26, 2015,

We appreciate your feedback on both the papers and the database.

Acknowledgement :  Thanks to Bilel Sdiri, Borhen Eddine Dakkar, Lynda Chami, Asjad Amin, Ashiq Hussain and the 23 volunteer observers . Thanks to Shaohua Chen who provided the matlab code of MRETINEX ( S. Chen, A. Beghdadi, « Natural Enhancement of Color Image », Eurasip Journal on Image and Video Processing, Volume 2010 (2010), Article ID 175203, 19 pages,doi:10.1155/2010/175203, download PDF ) ..

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