Posters
Fundamental Brightness and Lightness Scales
Saeedeh Abasi, RIT Mark D Fairchild Modeling color appearance based on LMS cone responses is important as it helps to account for individual cone responses and individual differences. To have a system of colorimetry based on cone fundamentals at least five color attributes should be modeled. These color attributes can be modeled one dimension at a time rather than incorporating all color perceptions into one multidimensional space. So, proposing fundamental, one-dimensional scales of hue, lightness, brightness, and saturation/chroma can be very useful for a variety of colorimetric applications and for better understanding the principles of human color perception. Brightness and lightness are important fundamental attributes in color appearance models. A model for brightness and lightness prediction was proposed, which was built directly from cone fundamentals, and it is a power function of achromatic response. This model is a physiologically plausible model and can predict brightness and lightness for different surrounding conditions. The H-K effect is included in the model using fluorence and gray content concepts. The luminance of stimuli in the fluorence state, G0, can be considered as the threshold luminance for each wavelength. G0 defines the luminance of the 'equal chromatic brightness' and can be determined for the entire chromaticity diagram. The G0 luminance can be considered as an anchor for a specific chromaticity. So, the luminance of the target stimulus can be normalized to the G0 luminance, instead of normalizing to a white luminance. Using this method, the H-K effect can be predicted with good accuracy. The Stevens effect is also included in the model using the terminal brightness introduced by Stevens and Stevens. The performance of the model was compared with the CIECAM16 and CAM16-Hellwig using the available data sets, and it shows good predictions on brightness and lightness under different viewing conditions. Saeedeh Abasi is a PhD candidate at the Munsell Color Science Laboratory at Rochester Institute of Technology. She received her B.S., M.S. and PhD degrees in Textile Engineering from Amirkabir University of Technology. Her research interests are color science and image processing. Preserving Perceptual Brightness: A G0-Referenced Lightness Metric for Enhanced Color-to-Grayscale Conversion Sanaz Aghamohammadi earned her BSc in Textile Engineering from Amirkabir University of Technology in 2019 and went on to receive her MS in Polymer and Color Engineering in 2022. She is currently pursuing a PhD in Color Science at Rochester Institute of Technology's Munsell Color Science Laboratory. Her research interests focus on color perception, with a particular emphasis on chromatic brightness and brilliance.
Color Association Correspondences Between Emojis and Emotions Compensating for Color Deficits: Perceptual and Neural Adjustments in Anomalous Trichromacy Fatemeh Charkhtab Basim I'm a third year PhD student in the Integrative Neuroscience program at the University of Nevada, Reno, with a background in polymer engineering and color science. My research focuses on color vision and perception, and I'm particularly interested in how color-deficient individuals perceive different colors and handle achromatic settings, and how they actually compensate for their lack of color vision. Before switching to neuroscience, I studied polymer synthesis, paint structures, and human color vision theories, which gave me a unique lens for my current work. In my projects, I use psychophysical experiments and tools like Psychtoolbox in MATLAB to explore how visual information is processed. Outside the lab, I'm involved with the Iranian Students Association, where I help foster cultural connections and support students. I work as an instructor during breaks, and I also love hiking, photography, and spending time with my friends. I'm excited to share my work at the ISCC conference and learn from other researchers passionate about color perception. 2HDRVD: The Handheld High Dynamic Range Video Dataset The lightweight form factor of new cinema cameras and recording hardware has allowed for high accuracy real-time photometric measurement of diverse scenes at low cost. Using this equipment, a total of 783 High dynamic range, resolution and frame rate RAW videos were captured in natural (Utah, Arizona, Washington and Alaska USA), urban (London UK, Seattle & New York City, USA) and indoor scenes featuring diverse high contrast motion content (ecological, human, animal, mechanical, etc.) and lighting conditions (natural & artificial, day & night). The dataset, its associated capture and processing workflow, and technical applications will be presented. Trevor Canham is studying color imaging under the supervision of Michael Brown at York University in Toronto. He received the BSc in Motion Picture Science from the Rochester Institute of Technology, and spent several years working in Marcelo Bertalm o's Image Processing for Enhanced Cinematography lab in Barcelona, Spain. His interests lie in the interaction between color phenomenology and imaging systems. He was recently awarded best student paper at the 31st Color & Imaging Conference and the Color Research Society of Canada's graduate student award. Light and Color in the Work of Cruz-Diez: Phenomenology and the Creation of Atmospheres Color Reproduction on Metal Surfaces: Best Practices and Technical Insights Universal Color Design for Thematic Maps Bill Fischer is professor emeritus and founder of the Digital Art & Design program at Kendall College of Art and Design of Ferris State University. He is the author of the I-See-U blueprint for Inclusive, Socio-Emotional, Entertaining, and Universal design. He was the executive producer for The EPIC Project (Engaging Production Inspiring Classrooms) an ongoing collaboration with faculty, K12 educators, and field experts that build and test digital media products focused on inclusion and innovation. He's designed toys, buildings, automotive interiors, animated, printed, and interactive media for over 30 years. Bill is a multiple award-winning designer in the automotive, digital media, and games arenas. He led teams that earned Ford's best new product, three Motor Trend cars of the year, best in show in the American Advertising awards, and has earned seven patents. He supported teams that won best games at the Serious Play, and Meaningful Play game conferences. Most recently Bill has led teams that create board and digital games, animation, video, apps, AR/VR, and mixed reality media that utilize his universal design methods and tools to facilitate rich experiences for persons with disabilities and provide full participation in the ongoing socio-cultural fabric of the world we all share. Spherical Color as an Alternative to Cubic Models James Garrard is an Automation Engineer with a passion for color theory. In his spare time, he explores the science and perception of color, focusing on innovative ways to represent and interact with it. He has developed a spherical color model, a quaternary naming system, and visualization software to showcase his ideas. Color Perception in Deaf and Hard of Hearing Individuals and Implications for Design While research indicates that color perception itself is generally not significantly different between hard of hearing and hearing individuals, some studies suggest that the way deaf or hard of hearing people associate meaning with colors, and their ability to discriminate between subtle color variations, might be impacted due to their reliance on visual information and the lack of auditory input, potentially leading to slightly different color perception experiences depending on the individual and their specific hearing loss level. These potential differences in color perception and responses to color information need to be taken into consideration when designing interactive experiences in immersive environments. In this paper we will describe existing findings related to color and multisensory perception in deaf and hard of hearing people and outline the implications for user experience design that involve color. Miranda Garvey is a 3rd-year Neuroscience Major with a Psychology Minor at Rochester Institute of Technology. I am also on a pre-med track but interested in getting my MD/Ph.D. I am a part of URISE and an NIH-funded researcher at RIT. My current research includes investigating differences in color and multi-sensory perception in hearing and deaf or hard-of-hearing individuals using EEG technology to measure ERP amplitudes. My research interests are predominantly within neuroscience, specifically neuronal plasticity in different sensory modalities within individuals who have lost or inhibited perception in certain regions. My primary inquiry is how plasticity in the brain is affected in latent deaf and hard-of-hearing individuals compared to hearing individuals. However, I am interested in acoustic neuromas and autoimmune diseases that affect hearing loss. As a latent deaf individual, I want to help create treatment plans and measures that can one day restore hearing, among other modalities, for individuals who have suffered sensory losses, as I have. We must know how our sensory regions interact to understand better how we can lose sense. That interaction holds the answers we are searching for. Systems for Improved Color Optics and Painting Allyson Glenn is a visual artist and art educator. She explores color through a variety of art mediums including painting, drawing, and animation. Her artwork has been widely shown across North America and Europe, India, China, and Greece. Her investigations into color led her to create systems that improve the painting process, spatial depth and vibrancy of the pictorial image. As an art educator, she often shares these explorations with students. Allyson is an Associate Professor for the School for the Arts, University of Saskatchewan, Canada. Developing a Custom Color Calibration Target for Objective Skin Color Measurement Using Color-Corrected Dermoscopy Objective skin color assessment through colorimetry can measure skin disease progression and ensure diverse population recruitment in trials. Colorimetry measurements are provided in L*a*b* color space. The L* b* plane is useful because the Individual Typology Angle (ITA), derived as the angle from the point (L*=50, b*=0) and the measured (L*,b*) values, corresponds to melanin content. Colorimeters can be costly or difficult to use on small or curved anatomical sites. Photography provides a more accessible colorimetry tool but has been limited in maintaining color consistency due to variations in camera calibration and non-uniform illumination. A dermatoscope, a cross-polarized, 10x magnification epiluminescence imaging device commonly used in clinics, was repurposed to provide objective colorimetry measurements when combined with a color calibration target. For each image, a color correction matrix minimized the color difference between the known and measured calibration targets. This matrix was applied to the image to extract a skin color measurement. While calibrating dermoscopy images with commercial targets displayed the ability to estimate ITA, these targets are rectangular, occupying most of the dermatoscope's field of view (FOV). Additionally, most of the colors in the target are not skin colors, making the extracted L*a*b* values less accurate for very light or dark skin tones, causing greater errors in the estimated ITA. To improve color calibration for skin color while integrating colorimetry into dermatoscopes, a 21 mm diameter custom calibration target with 24 patches (each 1.6x1.6mm), was designed and 3D printed to fit the periphery of the dermatoscope's FOV. The target consists of 6 neutral grey patches and 18 optimally selected patches from the Pantone SkinTone Guide with known L*a*b* coordinates calculated from existing skin reflectance spectra. The development of this calibration target suggests that color-corrected dermoscopy can be integrated into a clinical setting for objective skin color assessment. Maysoon Harunani is a PhD candidate at the Washington University in St. Louis, studying Biomedical Engineering. Her research in the Shmuylovich Lab in the Division of Dermatology focuses on the quantification and characterization of skin color. Her work hopes to address healthcare disparities caused by skin color, aligning with her role as a fellow for the Washington University Center for the Study of Race, Ethnicity, and Equity. She also serves as an assistant to the instructor for the BME Senior Design course, mentoring students with professional writing, technical communication, and project management. She holds a BS in Biomedical Engineering with a concentration in Medical Optics and a minor in Optics from the University of Rochester. During her undergraduate years, she was recognized as a Grand Challenges Scholar by the National Academy of Engineers for her work towards the Engineering Better Medicines. The World Was Black and White and We Were in Screaming Color: Color Terminology and Association with Taylor Swift's Music Sofie Herbeck is a Color Science PhD student in the Munsell Color Science Laboratory (MCSL), at the Rochester Institute of Technology (RIT). Sofie received a B.A. in Computer Science & Theatre and Performance Studies at the University of California, Berkeley in 2021. During and after their undergraduate degree, they worked with Profs. Ren Ng and Austin Roorda as a research assistant on a collaborative project between computer science and vision science to probe human color vision at the photoreceptor level, using adaptive optics. At RIT, advised by Profs. Michael Murdoch and Christopher Thorstenson, Sofie conducted a project on transparency adjustment and perception of faces in optical see-through augmented reality. Currently, when not thinking about Taylor Swift's lyrical use of color terminology, Sofie is working with the MCSL's trichromator to compare and assess various methods of measuring individual color matching functions in humans. Creating Colored "Bound Volumes" with Digital Object Identifiers Daniel (Dan) Martin is an assistant professor of graphic design at the University of Wisconsin-Parkside, where he teaches web design, typography, and design foundations. Originally from the Upper Peninsula of Michigan, Dan received his MFA in Design from the University of Minnesota. Prior to graduate school and academic life, Dan worked at the University of Chicago Press for more than a decade. When not teaching his students the ins and outs of HTML, CSS, JavaScript, serifs, sans-serifs, and more, he works with select cultural organizations as a freelance graphic designer as well as maintaining his personal visual art practice. That practice explores issues of technology, publishing, and labor through data-based abstraction. Dan lives in Kenosha, WI, with his wife, Rachel Rolland and dog, String Bean. Color Constancy in Virtual Environments with Head-Mounted and Flat-Panel Displays Visual Perception and Contrast Sensitivity: Evaluating the Effects of Tinted Lenses Likhitha Nagahanumaiah earned her Bachelor of Science in Electronics and Communication from Sri Krishnarajendra Silver Jubilee Technological Institute (SKSJTI), India. She then completed her Master's degree in Electrical Engineering with a focus on Signals and Image Processing at the Rochester Institute of Technology (RIT). Currently, she is pursuing a PhD in Color Science at RIT. Likhitha 蘗s research lies at the crossroads of color science and advanced imaging technologies, emphasizing color image analysis, image quality evaluation, and mixed reality systems. Her work incorporates computer vision techniques to study color perception and its practical applications in diverse contexts. She is particularly interested in exploring how traditional principles of color science can be integrated into emerging technologies like augmented and virtual reality. Through her academic and research endeavors, Likhitha is committed to deepening the understanding of color and image quality, aiming to contribute meaningful advancements to both scientific exploration and the development of next-generation visual technologies. Color as Cultural Code: From Psychedelia to Brat Summer Zena O'Connor is one of a handful of people with a PhD that investigated the interface between color and human response (University of Sydney, Faculty of Architecture). A designer by training, Zena is an evidence-based color design research consultant and for the last twenty years, she has worked on a range of projects that focus on providing insight, validation and color strategies for applied design and design of the built environment including strategies to improve environmental visual literacy in healthcare, aged care projects and the built environment; data visualization; branding and logo design. Clients include Aevum Limited (AUS), Auckland District Health Board, Auckland City Hospital, Bupa (NZ), Deicke Richards Architects (AUS), Greene King (UK), Haugstad M bel (Norway), Klein Architects (Auckland), Mirvac (AUS), New Zealand Health Design Council, Norna AI (Sweden), Oslo Planning Dept. (Norway), and Suncorp Bank (AUS). In addition, Zena has lectured in applied color and theories of color at the University of Sydney (Faculty of Architecture), University of NSW (Art & Design) and Sydney Design School. She has published 80+ peer-reviewed books, book chapters, academic articles and conference papers and was awarded the Resene Color Maestro Prize (2017) for a community-based color installation in Sydney, Australia. Chromatic Adaptation in Displays: The Influence of Ambient Environment Performance Analysis of Deep Learning Architectures in Reconstruction of Overexposed Images Multisensory Color-Haptic Interaction in Augmented Reality First Using Generative AI for Data Color Scheme Suggestion Theresa-Marie Rhyne has over three decades of experience in producing and colorizing digital media and visualization. In December 2024, CRC Press published the second edition of her book on "Applying Color Theory to Digital Media and Visualization" that includes her five stage process of colorizing a data visualization. She has consulted with the Stanford University Visualization Group on a color suggestion prototype system, the Center for Visualization at the University of California at Davis, and the Scientific Computing and Imaging Institute at the University of Utah on applying color theory to ensemble data visualization. Prior to her consulting work, she founded two visualization centers: (1) the United States Environmental Protection Agency's Scientific Visualization Center in the 1990s and (2) the Center for Visualization and Analytics at North Carolina State University in the 2000s. In 2023, she received an IEEE Computer Society Distinguished Contributor Award. She is currently exploring and writing on the use of Generative AI for color scheme suggestion. MISHA.br, Bringing MISHA RIT Technology to São Paulo, Brazil Optimizing Material Segmentation Using FCN-ResNet101: The Role of Color-Based Data Augmentations with the COCO Dataset Soroush Shahbaznejad received his B.Sc. and M.Sc. in Textile Engineering (Textile Chemistry and Fiber Science) from the University of Guilan and Amirkabir University of Technology, respectively, where his thesis explored perceptual effects of near-gray backgrounds on fluorescent color samples. He is now a second-year Ph.D. student in the Munsell Color Science Laboratory at Rochester Institute of Technology, focusing on color science, spectral data processing, color appearance models, and computer vision. Perceptual Thresholds of Facial Lighting in Emissive and AR Displays Evaluating the Influence of Eyewear on Perception of Small Color Difference in Reflective Samples Shuyi Zhao is a Ph.D. candidate in Color Science at the Rochester Institute of Technology (RIT), where her research focuses on human color vision, deepening the understanding of 3D object perception, and exploring the color reproduction of 3D printing. She earned a Master's degree in Additive Manufacturing and 3D Printing from the University of Nottingham, where her thesis, supervised by Prof. Lyudmila Turyanska and Prof. Geoffrey Rivers, explored the integration of optically active nanoscale materials with inkjet printing technology. Shuyi holds a Bachelor of Science in Printing Engineering from the Beijing Institute of Graphic Communication. During her undergraduate studies, she spent a year as an exchange student at the University of Leeds, majoring in Graphic and Communication. As part of her bachelor's thesis, supervised by Prof. Min Huang, she contributed to a study on color difference calculation methods for 3D-printed sphere samples, which was published in Acta Optica Sinica. Her academic interests lie at the intersection of color science, additive manufacturing, and visual perception, with a particular focus on advancing the understanding of 3D color perception and reproduction. |
About ISCC and Color Impact 2025
The Inter-Society Color Council is the principal interdisciplinary society in the United States dedicated to advancing color research and best practices in industry, design/arts, and education.
ColorImpact 2025 promises to be a significant event for color professionals worldwide. Registration for the conference will open in the first quarter of 2025.
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