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Call for Papers
 » Journal-first (JIST or JPI) 15 May
 » Conference 20 June
Acceptance Notification
 » Journal-first (JIST or JPI) 27 June
 » Conference 29 July
Final Manuscripts Due
 » Journal-first (JIST or JPI) 8 Aug
 » Conference 2 Oct

Registration Opens August
Early Registration Ends 16 Oct
Hotel Reservation Deadline 21 Oct
Conference Begins 13 Nov




CIC30 Preliminary Program

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Learn the Latest About Color: CIC At-a-Glance

  • Days 1 and 2: Short courses + workshops + Welcome
  • Day 3: Keynote + technical sessions + exhibition + Evening Talk
  • Day 4: Keynote + technical sessions + exhibition + Demonstration Session + Conference Reception/Dinner
  • Day 5: Keynote + technical sessions

Preliminary Program

Please Note: Preliminary Program is subject to change; the Final Program will be released three weeks prior to the conference start.

Tuesday, 15 November

Welcome and Keynote*

A Theory of Material Appearance: How Learning Structures Surface Perception, Roland Fleming, Justus Liebig University of Giessen and Center for Mind, Brain and Behavior of the Universities of Marburg and Giessen (Germany) [Speaker Bio]

Humans are very good at visually recognizing materials and inferring their properties. Without touching surfaces, we can usually tell what they would feel like, and we enjoy vivid visual intuitions about how they typically behave. This is impressive because the retinal image that the visual system receives as input is the result of complex interactions between many physical processes. Somehow the brain has to disentangle these different factors. This talk presents some recent work which shows that an unsupervised neural network trained on images of surfaces spontaneously learns to disentangle reflectance, lighting, and shape. However, the disentanglement is not perfect, and we find that as a result the network not only predicts the broad successes of human gloss perception, but also the specific pattern of errors that humans exhibit on an image-by-image basis. This has important implications for thinking about appearance and vision more broadly.

Color Appearance: Metrics

Why Achromatic Response is not a Good Measure of Brightness, Luke Hellwig¹, Dale Stolitzka², and Mark Fairchild¹; ¹Rochester Institute of Technology and ²Samsung Semiconductor, Inc. (US)

Representing Color as Multiple Independent Scales: Brightness versus Saturation, Hao Xie and Mark Fairchild, Rochester Institute of Technology (US)

A Revised Formulation based on CIECAM16 for Cross-media Colour Reproduction via Real Scene Experiment, Yuechen Zhu and Ming Ronnier Luo, Zhejiang University (China)

Color Appearance: Applications

Testing the Performance of Color Difference Formula for a Mixed Display Technology Setup, Pooshpanjan Roy Biswas¹,², Sophie Jost², Dominique Dumortier², Herve Drezet¹, and Marie-Laure Avenel¹; ¹Renault and ²ENTPE (France)

Retrieval of Lost Art, Milan Kresović and Jon Yngve Hardeberg, Norwegian University of Science and Technology and Gabriel Adelman-Elias, physician (Norway)

Luminance, Brightness, and Lightness Metrics for HDR, Charles Poynton, independent consultant (Canada)

Color Appearance Characterization of Highlight Stimuli in HDR Scenes Across a Wide Range of Diffuse White Luminance, Hongbing Wang and Minchen Wei, The Hong Kong Polytechnic University (Hong Kong)

Lunch Break

Color Differences and Discrimination

A Parametric Colour-difference Study on the Separation and CMF Effects, Qiang Xu, Keyu Shi, and Ming Ronnier Luo, Zhejiang University (China)

Color-difference Ellipsoids Follow from Metamer Mismatching, Emitis Roshan and Brian Funt, Simon Fraser University (Canada)

The Perceptibility of Color Differences between Thin Lines and its Application to Printing Imaging Pipelines, Jan Morovic, HP Inc. (UK), and Peter Morovic, HP Inc. (Spain)

Interactive Paper Previews I

Trendlines: Evaluation of Consistent Color Appearance, Yasuki Yamauchi, Yuta Terashima, and Yukiya Konnta, Yamagata University (Japan)

Predicting Pigment Color Degradation with Time Series Models, Irina Ciortan¹, Tina Grette Poulsson², Sony George¹, and Jon Yngve Hardeberg¹, ¹Norwegian University of Science and Technology and ²National Museum of Norway (Norway)

Color Matching between Regular Display and LED Lighting Tiles in Automotive, Jeremie Gerhardt¹, Greg Ward², Hyunjin Yoo¹, and Tara Akhavan¹; ¹Faurecia IRYStec Inc. (Canada) and ²Anyhere Software (US)

Revising CAM16-UCS, Luke Hellwig and Mark Fairchild, Rochester Institute of Technology (US)

Relating Color Associations to Pill Colors and Expected Efficacy, Rema Amawi, Rochester Institute of Technology - Dubai Campus (United Arab Emirates), and Michael Murdoch, Rochester Institute of Technology (US)

A Noise-robust Pulse Wave Estimation from RGB Video using Wiener Estimation Method, Yuta Hino, Koichi Ashida, and Norimichi Tsumura, Chiba University (Japan)

Visibility Improvement in Air Pollution Scene by Joint Sharpness - Contrast Enhanced Dehazing, Hiroaki Kotera, Kotera Imaging Laboratory (Japan)

Pseudocolor Analysis of Glare’s Paradox in Illusions, John McCann, McCann Imaging (US)

Measurement of Gloss Unevenness with Different Reflection Angles, So Nakamura¹, Shinichi Inoue², Yoshinori Igarashi³, Takeyuki Hoshi³, Hiromi Sato¹, and Yoko Mizokami¹; ¹Chiba University, ²Tokyo Polytechnic University, and ³Chuo Precision Industrial Co., Ltd. (Japan)

HDR Multispectral Imaging-based BRDF Measurement using a Flexible Robotic Arm System, Yoko Arteaga and Clotilde Boust, Centre of Research and Restoration of the Museums of France (France); and Jon Hardeberg, Norwegian University of Science and Technology (Norway)

New Corresponding Colors under High Dynamic Range to Verify CAM16-UCS Model, Xinye Shi, Yuechen Zhu, and Ming Ronnier Luo, Zhejiang University (China)

Constant Hue Loci in Rec 2020 Gamut under an HDR Condition, Hongbing Wang and Minchen Wei, The Hong Kong Polytechnic University (Hong Kong), and Xinchao Qu, DJI (China)

Image Capture

JIST-first**: Evaluation of Figures of Merit for Colorimetric Cameras, Michael Vrhel, Artifex Software, and H. Joel Trussell, North Carolina State University (US)

CNN Color Demosaicking Generalizes for any CFA, Lise Yannick Bourrier¹, Martial Mermillod¹, Marina Reyboz², and David Alleysson¹; ¹Laboratoire de Psychologie et NeuroCognition and ²CEA (France)

Hue-specific Color Correction for Raw-RGB Images, Emilie Robert¹, Magali Estribeau,² Pierre Magnan², Justin Plantier³, and Edoardo Cucchetti¹; ¹Centre National d'Études Spatiales, ²ISAE-SUPAERO, and ³French Military Health Service (France)

Evaluating the Performance of Different Cameras for Spectral Reconstruction, Yi-Tun Lin and Graham D. Finlayson, University of East Anglia (UK)

Comparison of LED-based and Reflective Colour Targets for Camera Spectral Sensitivities Estimation, Hui Fan and Ming Ronnier Luo, Zhejiang University (China)

Evening Talk Details coming

Wednesday, 16 November


Green Color Science, Erik Reinhard, InterDigital (France) [Speaker Bio]

This keynote makes the case that color science can and should make a meaningful contribution to sustainability. All along a video pipeline, from production to transmission and finally to display, energy is spent. It turns out that one of the most costly aspects of video is simply the production of light in the displays that we use. The introduction of novel display technologies, including a wider gamut, higher dynamic range, higher resolutions, and higher framerates, for the moment tends to increase the energetic impact. The tendency of viewers to migrate to smaller displays, on the other hand, helps to counteract this problem. But what else can be done, and where does color science come in? This presentation outlines the problem and begins to answer some of these questions.

The talk concludes with a discussion of the next phase of color measurement requirements needed to take color reproduction to the point where color communication and control become a universal measurement, much like the voltmeter or the mass balance.

Material Appearance: Image Capture and Analysis*Sponsored by: 

JIST-first**: Visual Cortex based Material Appearance Transfer Model, Hiroaki Kotera, Kotera Imaging Laboratory, and Norimichi Tsumura, Chiba University (Japan)

JIST-first**: Bumpy Appearance Editing of Object Surfaces in Digital Images, Yusuke Manabe, Midori Tanaka, and Takahiko Horiuchi, Chiba University (Japan)

JIST-first**: Statistical Analysis of Sparkle in Snow Images, Mathieu Nguyen, Jean-Baptiste Thomas, and Ivar Farup, Norwegian University of Science and Technology (Norway)

JIST-first**: SVBRDF Estimation using a Normal Sorting Technique, Snehal Padhye and James A. Ferwerda, Rochester Institute of Technology (US)

Interactive Paper Previews II

Color Reproduction in LED Virtual Production Stages, Laurent Gudemann¹,², Jan Fröhlich¹,², and Harald Brendel²; ¹Stuttgart Media University and ²ARRI Munich (Germany)

A 360-deg Omnidirectional Photometer using a Ricoh Theta Z1, Ian MacPherson, Richard Murray, and Michael Brown, York University (Canada)

Effect of Polarization on RGB Imaging and Color Accuracy/Fidelity, Tarek Abu Haila, Reimar Tausch, Pedro Santos, and Dieter Fellner, Fraunhofer IGD (Germany)

Analysis of Individual Quality Scores of Different Image Distortions, Olga Cherepkova, Seyed Ali Amirshahi, and Marius Pedersen, Norwegian University of Science and Technology (Norway)

Three Dimensional Surface Preserving Smoothing, Hans Jakob Rivertz and Ali Alsam, Norwegian University of Science and Technology (Norway)

Spectral Reflectance Estimation with Smoothness Constraint, Shoji Tominaga, Norwegian University of Science and Technology (Norway), Shogo Nishi, Osaka Electro-Communication University (Japan), Ryo Ohtera, Kobe Institute of Computing (Japan), and Hideaki Sakai, Kyoto University (Japan)

Deriving Individual Colour Matching Functions using a Multi-primary Trichromator, Keyu Shi¹, Andrew Stockman², Andy Rider², Ming Ronnier Luo¹, Tingwei Huang³, and Jianlong Zhang³; ¹Zhejiang University (China), ²University College London (UK), and ³Thousand Lights Lighting (Changzhou) Limited (China)

Improving Naturalness in Transparent Augmented Reality with Image Gamma and Black Level, Zilong Li and Michael Murdoch, Rochester Institute of Technology (US)

Adaptive Display White Point for Enhancing Viewing Experience of Mixed Reality Headsets, Minchen Wei, Wenyu Bao, and Zheng Huang, The Hong Kong Polytechnic University (Hong Kong), and Jan Oberläder, Stefan Rüffer, and Jerry Jia, Meta Reality Labs (US)

Reversibility of Corresponding Colors in Sensory Chromatic Adaptation, Mark Fairchild, Rochester Institute of Technology (US)

The Regularised Epsilon-derivative for Image Reintegration, Graham Finlayson, University of East Anglia (UK), and Mark Drew, Simon Fraser University (Canada)

Testing Methods to Estimate Spectral Reflectance using Datasets under Different Illuminants, Jinghong Xu, Hui Fan, and Ming Ronnier Luo, Zhejiang University (China)

Lunch Break

Color in Computer Vision: Illumination Estimation and Invariance

An Exposure Invariant Neural Network for Colour Correction, Abdullah Kucuk¹, Graham D. Finlayson¹, Rafal Mantiuk², and Maliha Ashraf³; ¹University of East Anglia, ²University of Cambridge, and ³University of Liverpool (UK)

An Image Dataset for Benchmarking Color Constancy Algorithms: Multiple Illuminations and Multiple Ground Truths, Anya Hurlbert, Jan Kucera, and Gaurav Gupta, Newcastle University (UK)

Laplacian of Logarithm as Illuminant-Invariant Input Space, Brian Funt, Simon Fraser University (Canada), and Ligeng Zhu, MIT (US)

Dive into Illuminant Estimation from a Pure Color View, Shuwei Yue and Minchen Wei, The Hong Kong Polytechnic University (Hong Kong)

Image Editing of Light and Color from a Single Image: A Baseline Framework, Yixiong Yang¹, Hassan Ahmed Sial², Ramon Baldrich¹, and Maria Vanrell¹; ¹Computer Vision Center and ²University of Girona (Spain)

Approximating Planckian Black-body Lights using Wien's Approximation, Rada Deeb and Graham Finlayson, University of East Anglia (UK), and Michael Brill, Datacolor (US)

Interactive Session and Exhibit

Conference Reception/Dinner

Thursday, 17 November

Keynote and Awards

Nothing About Us Without Us?, Vien Cheung, University of Leeds (UK) [Speaker Bio]

Facial recognition, an artificial-intelligence-based technology, aims to map and analyze facial features from images—photographs, videos, or in real time—so as to identify and confirm a subject. This technology has been increasingly deployed by law enforcement and border control to secure access, improve surveillance, and minimize in-person contact, especially during the crucial pandemic times. However, such efficient advancement is not without controversies. There have been significant concerns on privacy risk, data leak, discrimination, and color (racial) and gender bias. This talk discusses the state-of-the-art of facial recognition and presents a philosophical analysis on the balance of technology and diversity.

Image Quality and Interpretation

JIST-first**: Exploring Effects of Colour and Image Quality in Semantic Segmentation, Kanjar De, Luleå University of Technology (Sweden)

Image Quality of Spectral Filter Arrays for Planetary Rover Applications: From Demosaicing to Color Correction, Edoardo Cucchetti¹, Emilie Robert¹, Alexandre Delahaye², and Mathieu Boutillier¹; ¹Centre National d'Etudes Spatiales and ²Magellium (France)

Color Vision: Adaptation and Models

An Intrinsic Image Network with Properties of Human Lightness Perception, Richard F. Murray¹, David H. Brainard², Jaykishan Y. Patel¹, Ethan Weiss¹, and Khushbu Y. Patel¹; ¹York University (Canada) and ²University of Pennsylvania (US)

Best Paper: Suprathreshold Contrast Matching between Different Luminance Levels, Maliha Ashraf¹, Rafal Mantiuk², Jasna Martinovic³, and Sophie Wuerger¹; ¹University of Liverpool, ²University of Cambridge, and ³University of Edinburgh (UK)

Weighted Geometric Mean (WGM) Method: A New Chromatic Adaptation Model, Che Shen and Mark Fairchild, Rochester Institute of Technology (US)

A Study of Spatial Chromatic Contrast Sensitivity based on Different Colour Background, Qiang Xu¹, Qichen Ye¹, Rafal Mantiuk², and Ming Ronnier Luo¹; ¹Zhejiang University (China) and ²University of Cambridge (UK)

Lunch Break

Color Cognition: Faces and Culture

Representative Color of Skin Tones and Natural Objects, Dara Dimoff and Susan Farnand, Rochester Institute of Technology (US)

Colour Predictors of Facial Preference Differ in Caucasian and Chinese Populations, Yan Lu¹, Kaida Xiao¹, Jie Yang², Michael Pointer¹, Changjun Li³, and Sophie Wuerger⁴; ¹University of Leeds (UK), ²Beijing Institute of Graphic Communication (China), ³University of Science and Technology Liaoning (China), and ⁴University of Liverpool (UK)

How Koreans Understand Colorfulness, Chroma, Vividness, and Depth, Hyesun Han and Youngshin Kwak, Ulsan National Institute of Science and Technology (South Korea)

Material Appearance: Shining and Seeing Through*

JPI-first**: Transparency and Translucency in Visual Appearance of Light-Permeable Materials, Davit Gigilashvili and Tawsin Uddin Ahmed, Norwegian University of Science and Technology (Norway)

Perception of the Appearance of Metal-like Package Printing, Carl Fridolin Weber, Labeed Ahmad Solangi, Hans Martin Sauer, and Edgar Dörsam, TU Darmstadt, and Martin Schmitt-Lewen, Heidelberger Druckmaschinen AG (Germany)

Reproduction of Perceptual Translucency by Surface Texture in 3D Printing, Kazuki Nagasawa¹, Kamui Ono¹, Wataru Arai², and Norimichi Tsumura¹; ¹Chiba University and ²Mimaki Engineering Co., Ltd. (Japan)

The Role of Shape in Modeling Gloss, Davit Gigilashvili and Akib Jayed Islam, Norwegian University of Science and Technology (Norway)

*Session is part of the MANER Conference and sponsored by MANER

**Presenters of JIST- or JPI-first papers have met the stringent criteria for publication in the respective journal, Journal of Imaging Science and Technology or Journal of Perceptual Imaging. [more information on this submission option]

Keynote Speakers

Roland Fleming, Justus Liebig University of Giessen and Center for Mind, Brain and Behavior of the Universities of Marburg and Giessen

A Theory of Material Appearance: How Learning Structures Surface Perception

Roland FlemingRoland Fleming read PPP at Oxford, and did his PhD at MIT.  After a postdoc at the Max Planck Institute for Biological Cybernetics, he joined Giessen University, where he is currently the Kurt Koffka Professor of Experimental Psychology. He is also the Executive Director of the Center for Mind, Brain and Behaviour of the Universities of Marburg and Giessen. His research combines psychophysics, neural modelling, computer graphics, and image analysis to understand how the brain estimates the physical properties of objects and materials. He coordinated the EU-funded Marie Curie Training Network “PRISM: Perceptual Representation of Illumination, Shape, and Materials”. In 2013 he was awarded the Young Investigator Award by the Vision Sciences Society, and in 2016 an ERC Consolidator Award for the project “SHAPE: On the perception of growth, form and process”.  In 2022 he was elected Fellow of the Royal Society of Biology.

Erik Reinhard, InterDigital France

Green Color Science

Erik ReinhardErik Reinhard is distinguished scientist at InterDigital, a research, innovation, and licensing company in wireless and video communication. He participates in sustainability programs at ITU-R, DVB, and SMPTE. He currently applies color science, image/video processing, and psychophysics to reduce the environmental impact of video communication and display.

Vien Cheung, University of Leeds

Nothing About Us Without Us?

Vien CheungVien Cheung, an academic in the UK, has published more than 100 refereed publications in the areas of color vision, color science, color imaging, and color design. Her ethos on integrity and diversity takes her to explore how color and imaging technology can shift our ‘black and white’ judgements into a more variegated and expansive perception of the world.

Danny RichIn June we announced Dr. Danny Rich as one of the CIC30 Keynote speakers. It is with profound sadness that we report that Dr. Rich died on July 3 as the result of injuries sustained during a car accident.

Those of you who knew Danny, know how intelligent, generous with his knowledge, and kind he was. A perennial attendee of CIC, he will be sorely missed. Should you wish to reach out to his family, you can find information for doing so via his LinkedIn page.

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