Call for Papers
 » Journal-first (JIST or JPI) 15 May
 » Conference 15 June
Acceptance Notification
 » Journal-first (JIST or JPI) 30 June
 » Conference by 1 Aug
Final Manuscripts Due
 » Journal-first (JIST or JPI) 15 Aug
 » Conference 1 Oct

Registration Opens early Oct
Early Registration Ends 22 Oct
Conference Begins 13 Nov




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Learn the Latest About Color

CIC31 offers all the high-quality short courses, workshops, keynote talks, technical papers, and exhibits the event is known for, along with ways to interact with colleagues and friends.

On this page

CIC31 At-a-Glance

*Day to be confirmed.

Preliminary Program

Note: Presenters of JIST-first papers have met the stringent criteria for publication in the Journal of Imaging Science and Technology.

Wednesday 15 November

Welcome and Opening Keynote

09:00 - 10:00

Mastering Light: Reproduction, Reality, and Augmentation
Michael J. Murdoch
head, Integrated Sciences Academy, and associate professor, Munsell Color Science Laboratory, Rochester Institute of Technology

As we gather in the City of Light, consider that everything visible is light. We, color and imaging scientists and practitioners, are masters of light, reproducing light through imaging, creating and utilizing light in our real environment, and augmenting our illuminated reality with advanced displays and optics. Imaging, a core topic of CIC, is about the reproduction of light, which is foremost a question of tone and color reproduction, and we develop and master technologies from reflective pigments to emissive displays. Reality itself is rendered and sensed with light, and as we choose to light our environment with LED illumination, color rendition is a central question for visual quality. Reality and imaging converge in augmented reality—AR—which can insert interactive imagery into our illuminated world. In AR, this mix of real and augmented reveals important questions about adaptation and color perception. Mastering light in real and augmented reality incorporates the newest, evolving technologies, while we rely on the foundations of our predecessors: both the intuitive artists whose paintings we still admire, and the rational scientists whose findings we still trust.

Image Perception Experiments

10:00 - 12:20

Perceived Color of Binocular Hue Mixture under Different Background Luminance Levels, Dingyu Hu, Shining Ma, Yue Liu, Yongtian Wang, and Weitao Song, Beijing Institute of Technology (China)

A Study of Spatial Chromatic Contrast Sensitivity Based on Different Colors, Luminance, and Stimulus Patterns, Ruihan Tang, Qiang Xu, and Ming Ronnier Luo, Zhejiang University (China)

10:40 - 11:20

Coffee Break and Exhibit

High-dynamic-range Colour Appearance Data to Verify CAM16-UCS, Xinye Shi, Yuechen Zhu, and Ming Ronnier Luo, Zhejiang University (China)

The Age Effect on Observer Colour Matching and Individual Colour Matching Functions, Keyu Shi¹, Andrew Stockman², Andrew Rider², and Ming Ronnier Luo¹; ¹Zhejiang University (China) and ²University College London (UK))

The Perceptibility of Color Differences in Continuous Transitions, Jan Morovic, HP Inc. (UK), and Peter Morovic, HP Inc. (Spain)

12:20 - 12:40

Exhibitor Previews

12:40 - 14:00

Lunch on own

Color Constancy I

14:00 - 15:00

JIST-first: Locus Filters: Theory and Application, Rada Deeb, Graham Finlayson, and Elaheh Daneshvar, University of East Anglia (UK)

RGB Illuminant Correction using Spectral Super-resolution and Weighted Spectral CAT, Marco Buzzelli¹, Mikhail K. Tchobanou², Raimondo Schettini¹, and Simone Bianco¹; ¹University of Milano - Bicocca (Italy) and ²Huawei Technologies Co. Ltd (Russia)

JIST-first: Color Correction of Mars Planet Images: A Study of Illumination Discrimination Along Solight Locus, Emilie Robert¹’²’3, Che Shen3, Mark Fairchild3, Magali Estribeau², and Edoardo Cucchetti¹; ¹Centre National d’Etudes Spatiales (France), ²ISAE-SUPAERO (France), and 3Rochester Institute of Technology (US)

Interactive Paper Previews I

15:00 - 15:30

Development and Testing of Vividness and Depth Model based on Different Scale Combination, Molin Li and Ming Ronnier Luo, Zhejiang University (China)
Improve Color Constancy by Facial Skin Color, Liqing Wang, Ming Ronnier Luo, Yuechen Zhu, and Xiaoxuan Liu, Zhejiang University (China)
Color-temperature Cross-modal Association: The Relationship Between Hue, Saturation, and Brightness and Temperature, Weiran Cui and Sunao Iwaki, National Institute of Advanced Industrial Science and Technology (AIST) (Japan)
A Psychophysical Study: Importance of Contrast and Luminance in Color to Grayscale Mapping, Prasoon Ambalathankandy, Yafei Ou, Masayuki Ikebe, and Sae Kaneko, Hokkaido University (Japan)
Metrology-driven Image Synthesis for Quality Control, Meldrick Reimmer, Hermine Chatoux, and Olivier Aubreton, Université de Bourgogne (France)
A Simple Fast Resource-efficient Deep Learning for Automatic Image Colorization, Tanmay Sadanand Ambadkar, Pennsylvania State University (US), and Jignesh S. Bhatt, Indian Institute of Infomation Technology Vadodara (India)
Optimised Spherical Sampling of the Object Colour Solid, Hans Rivertz, Norwegian University of Science and Technology (Norway), and Michal Mackiewicz, University of East Anglia (UK)
Effect of Memory Color on Color Difference and Color Appearance, Mengjing Zhao and Minchen Wei, The Hong Kong Polytechnic University (Hong Kong)
Color Analysis and Color Management in Mass Digitization of Transparencies at the National Digital Archives and the Archives of Modern Records in Poland, Mateusz Bolesta, National Digital Archives, and Artur Pawłowski, The Archives of Modern Records (Poland)
JIST-first: An Appearance Reproduction Framework for Printed 3D Surfaces, Tanzima Habib, Phil Green, and Peter Nussbaum, Norwegian University of Science and Technology (Norway)
JIST-first: Acquisition of Color Reproduction Technique based on Deep Learning using a Database of Color-converted Images in the Printing Industry, Ikumi Hirose¹, Ryosuke Yabe¹, Toshiyuki Inoue², Koushi Hashimoto3, Yoshikatsu Arizono², Kazunori Harada3, Vinh-Tiep Nguyen4,5, Thanh Duc Ngo4,5, Duy-Dinh Le4,5, and Norimichi Tsumura¹; ¹Chiba University (Japan), ²Sanko Corporation (Japan), 3Nikko Process Corporation (Japan), 4University of Information Technology (Vietnam), and 5Vietnam National University (Vietnam)
Perceived Translucency of Familiar and Unfamiliar Objects in Color and Grayscale Images, Aqsa Hassan and Davit Gigilashvili, Norwegian University of Science and Technology (Norway)
Spectral Sensitivity Estimation Without a Camera, Grigory Solomatov and Derya Akkaynak, Haifa University (Israel)

15:30 – 16:10

Coffee Break and Exhibit

Color Constancy II

16:10 - 17:30

JIST-first: Grey Balance in Cross Media Reproductions, Gregory High, Peter Nussbaum, and Phil Green, Norwegian University of Science and Technology (Norway)

Learning Color Constancy: 30 Years Later, Marco Buzzelli, Raimondo Schettini, and Simone Bianco, University of Milano - Bicocca (Italy)

Practical Cross-sensor Color Constancy using a Dual-mapping Strategy, Shuwei Yue and Minchen Wei, The Hong Kong Polytechnic University (Hong Kong)

JIST-first: Visualizing Perceptual Differences in White Color Constancy, Marco Buzzelli, University of Milano - Bicocca (Italy)

Thursday 16 November

Thursday Keynote

09:00 - 10:00

On Evaluating Skin Color User Preferences for Smartphone Photography
Sira Ferradans
AI scientific director, DXOMARK







Portraits are the most common use case for smartphone photography, however, producing a realistic and pleasant skin tone in real scenarios is still challenging for all. Around 20% of portraits are discarded due to bad image quality, and a photographer’s edition (raw capture with a professional photographer retouch) is mostly preferred to a smartphone’s, which suggests that contemporary smartphone cameras are far from solving the skin tone rendition problem.

These challenges are due to a lack of a clear user preferences target definition regarding color skin tone rendering. In literature, we find mostly studies that evaluate synthetic modifications of laboratory portraits. This talk shows that real setups are more complex to evaluate, and user preferences depend on many factors.

Producing non-homogeneous quality rendition across skin tones has become a sensitive issue, making its evaluation crucial. This talk discusses the challenges of systematically evaluating diverse skin tones in the lab using realistic mannequins, and how defining a target can pave the way to automatizing skin tone rendition evaluation with machine learning.

Computational Color

10:00 - 12:20

JIST-first: Multi-attention Guided SKFHDRNet for HDR Video Reconstruction, Ehsan Ullah and Marius Pedersen, Norwegian University of Science and Technology; and Kjartan Sebastian Waaseth and Bernt-Erik Baltzersen, DvNor (Norway)

CIECAM16-based Tone Mapping of High Dynamic Range Images, Imran Mehmood, Miaosen Zhou, Muhammad Usman Khan, and Ming Ronnier Luo, Zhejiang University (China)

10:40 - 11:20

Coffee Break and Exhibit

Simplifying Tone Curves for Image Enhancement, James Bennett and Graham Finlayson, University of East Anglia (UK)

First-principles Approach to Lightness Processing of Images, Andy Rowlands and Graham Finlayson, University of East Anglia (UK)

Novel Methods of Brightness and Saturation Testing for High-dynamic-range Images, Luke Hellwig¹, Mark Fairchild², and Dale Stolitzka¹; ¹Samsung and ²Rochester Institute of Technology (US)

Interactive Paper Previews II

12:20 - 12:45

Usefulness of Saliency Map in Estimating Food Appearance Favorability, Natsuko Minegishi, Konica Minolta, Inc.; Kenji Maeda, Takuo Kawajiri, and Shusuke Yamada, NIPPON HEATER KIKI Co., Ltd.; Akira Hirano and Shuji Toyosumi, SHINKO GLASS INDUSTRY Co., LTD. (Japan)
An HDR Image Database Construction and LDR-to-HDR Mapping for Metallic Objects, Shoji Tominaga, Norwegian University of Science and Technology (Norway), and Takahiko Horiuchi, Chiba University (Japan)
An Optimality Property of Matrix-R Theorem, its Extension, and the Application to Hyperspectral Pan-sharpening, Yi-Tun Lin, Graham D. Finlayson, and Abdullah Kucuk, University of East Anglia (UK)
Forward and Inverse Colour Calibration Models for OLED Displays, Maliha Ashraf, Dounia Hammou, and Rafal Mantiuk, University of Cambridge (UK)
Estimation Concentration of Pigment Component from Lip Image using Light Scattering Analysis, Ryosuke Imai and Norimichi Tumura, Chiba University (Japan)
A General-purpose Pipeline for Realistic Synthetic Multispectral Image Dataset Generation, Marco Buzzelli¹, Mikhail K. Tchobanou², Raimondo Schettini¹, and Simone Bianco¹; ¹University of Milano - Bicocca (Italy) and ²Huawei Technologies Co. Ltd. (Russia)
What Underlies Focal Color?, Brian Funt and Emitis Roshan, Simon Fraser University (Canada)
A Comprehensive Image Quality Dataset to Compare No-reference and With-reference Image Quality Assessment, Nanlin Xu and Ming Ronnier Luo, Zhejiang University (China)
The Effect of the Ambient Contrast of AR (Augmented Reality) Images on Brightness Perception, Hyosun Kim, Young-Jun Seo, and Yongwoo Yi, Samsung Display (South Korea)
JIST-first: Automotive Paint Defect Classification: Factory-specific Data Generation using CG Software for Deep-learning Models, Kazuki Iwata¹, Haotong Guo¹, Ryuichi Yoshida², Yoshihito Souma², Chawan Koopipat3, Masato Takahasi¹, and Norimichi Tsumura¹,4; ¹Chiba University (Japan), ²Konica Minolta, Inc. (Japan), 3Chulalongkorn University (Thailand), and 4Hiroshima University, Hiroshima University Hospital (Japan)

12:45 - 14:00

Lunch on own

Printing and Naming

14:00 - 15:00

Maximizing Neugebauer Primary Control: Beyond Halftoning, Peter Morovic, HP Inc. (Spain); Hector Gomez, HP Inc. (Spain); Utpal Sarkar, HP Inc. (Spain); Jan Morovic, HP Inc. (UK); Sergio Etchebehere, HP Inc. (Spain)

JIST-first: The Exploration of Specific Associations from Word to Colours, Yun Chen¹, Jie Yang², Fan Zhang¹, Kaida Xiao3, and Stephen Westland3; ¹Beijing Institute of Technology (China), ²Beijing Institute of Graphic Communication (China), and 3University of Leeds (UK)

On the Cardinality of Color Stimulus Properties, Peter Morovic, HP Inc. (Spain), and Ján Morovic, HP Inc. (UK)

15:00 - 16:30

Interactive Posters and Exhibit

Discuss the interactive (poster) papers with their authors and help select the CIC31 Cactus Award winner.

Invited Talk

16:30 - 17:00

Information forthcoming.

~18:00 - 21:00

Conference Reception

Friday, 17 November

Closing Keynote and Awards

09:00 - 10:10

Colour Science vs. Colour Engineering in High-End Motion Picture
Daniele Siragusano
image engineer, FilmLight








Professional VFX and Finishing Applications rarely use cutting-edge colour science research results.

It seems that every software vendor reinvents the wheel of colour management over and over again. Even open-source initiatives like the Academy Colour Encoding System (ACES) utilise little of the findings produced by academia in recent years.

Almost every blockbuster movie is produced within a unique colour management environment created by a specialised "Inhouse Colour Scientist" in Post Facilities. Every camera manufacturer ships with its proprietary "Colour Science". Every Colour Grading Software has custom colour models for every step in the process.

Why is this so?

It seems that the requirements for high-end motion picture workflows are very special and not well-established in the academic environment.

This keynote formalizes some of the most critical requirements for image algorithms in motion pictures, hoping to better align Colour Science and Colour Engineering for the big screen.

Multi- and Hyper-Spectral

10:10 - 12:30

JIST-first: Efficient Hyperspectral Data Processing using File Fragmentation, C. Caruncho, P.J. Pardo, and H. Cwierz, Universidad de Extremadura (Spain)

JIST-first: Comparison of Pigment Classification Algorithms on Non-flat Surfaces using Hyperspectral Imaging, Dipendra J. Mandal, Marius Pedersen, and Sony George, Norwegian University of Science and Technology (Norway); and Clotilde Boust, Center for Research and Restoration of Museums of France (C2RMF) (France)

10:50 - 11:30

Coffee Break

Standard Representation Space for Spectral Imaging, Jean-Baptiste Thomas, Université de Bourgogne (France); Pierre-Jean Lapray, Université de Haute-Alsace, IRIMAS UR 7499 (France); Max Derhak, ONYX Graphics Inc. (US); and Ivar Farup, NTNU (Norway)

Noise Prism: A Novel Multispectral Visualization Technique, Trevor Canham¹, Javier Vazquez-Corral², David Long3, Richard Murray¹, and Michael Brown¹; ¹York University (Canada), ²Universitat Autonoma de Barcelona (Spain), and 3Rochester Institute of Technology (US)

Multispectral Imaging based on a Multichannel LED System, Hui Fan and Ming Ronnier Luo, Zhejiang University (UK)

12:30 - 13:45

Lunch on own

Matching and Displays

13:45 - 15:05

JIST-first: Matrix R-based Visual Response to Optimal Colors and Application to Image Color Gamut Expansion, Hiroaki Kotera, Kotera Imaging Laboratory (Japan)
Effect of Display Characteristics and Color Reproduction Method in Computerized Color Vision Test, Zhang Dan, Ma Shining, Liu Yue, Wang Yongtian, and Song Weitao, Beijing Institute of Technology (China)
Analysing Perceptual Uniformity using Jacobian Determinants, David A. LeHoty, Independent Researcher (US), and Charles Poynton, Independent Researcher (Canada)
The Influence of Interreflections on Shape from Fluorescence, Irina Ciortan, Sony George, and Jon Hardeberg, NTNU (Norway)

15:05 - 15:35

Final Coffee Break


15:35 - 16:35

The Role of Colour and Texture on Fabric Image Preference, Qinyuan Li and Kaida Xiao, University of Leeds (UK)

JIST-first: Characterization of Wood Materials using Perception-related Image Statistics, Jiří Filip and Veronika Vilímovská, The Czech Academy of Sciences, Institute of Information Theory and Automation (Czech Republic)

JIST-first: Color Performance Review (CPR): A Color Performance Analyzer for Endoscopy Devices, Wei-Chung Cheng, U.S. Food and Drug Administration (US)

Best Student Paper announced and Closing remarks