Detail Preserving Reproduction of Color Images for Monochromats and Dichromats

Rasche, Karl; Geist, Robert; Westall, James

doi:10.1109/mcg.2005.54

Cited by 154 publications

(86 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The model used to represent dichromatic vision has limitations [53], but it has been used to obtain approximated descriptions in real-world scenes [54] and in practical applications [55][56][57]. Other available models [53,58] are also limited and are not optimized to work with extreme chromatic ranges of the optimal colors; thus it is unclear whether they can be used advantageously in these types of analysis.…”

Section: Discussionmentioning

confidence: 99%

Number of discernible colors for color-deficient observers estimated from the MacAdam limits

et al. 2010

View full text Add to dashboard Cite

We estimated the number of colors perceived by color normal and color-deficient observers when looking at the theoretic limits of object-color stimuli. These limits, the optimal color stimuli, were computed for a color normal observer and CIE standard illuminant D65, and the resultant colors were expressed in the CIELAB and DIN99d color spaces. The corresponding color volumes for abnormal color vision were computed using models simulating for normal trichromatic observers the appearance for dichromats and anomalous trichomats. The number of colors perceived in each case was then computed from the color volumes enclosed by the optimal colors also known as MacAdam limits. It was estimated that dichromats perceive less than 1% of the colors perceived by normal trichromats and that anomalous trichromats perceive 50%-60% for anomalies in the medium-wavelength-sensitive and 60%-70% for anomalies in the long-wavelength-sensitive cones. Complementary estimates obtained similarly for the spectral locus of monochromatic stimuli suggest less impairment for color-deficient observers, a fact that is explained by the two-dimensional nature of the locus.

show abstract

Section: Discussionmentioning

confidence: 99%

Number of discernible colors for color-deficient observers estimated from the MacAdam limits

et al. 2010

View full text Add to dashboard Cite

show abstract

“…We simulate two types of CVD using the approach proposed by Rasche et al [2005]. We denote as p deut (c) and p prot (c) the color properties returning the Lab coordinates of the color as seen by respectively a deuteranope and a proteranope.…”

Section: Color Vision De Ciencies: Several Color Vision De Ciencies (mentioning

confidence: 99%

Constrained palette-space exploration

et al. 2017

View full text Add to dashboard Cite

Color palettes are widely used by artists to define colors of artworks and explore color designs. In general, artists select the colors of a palette by following a set of rules, e.g. contrast or relative luminance. Existing interactive palette exploration tools explore palette spaces following limited constraints defined as geometric configurations in color space e.g. harmony rules on the color wheel. Palette search algorithms sample palettes from color relations learned from an input dataset, however they cannot provide interactive user edits and palette refinement. We introduce in this work a new versatile formulation enabling the creation of constraint-based interactive palette exploration systems. Our technical contribution is a graph-based palette representation, from which we define palette exploration as a minimization problem that can be solved efficiently and provide real-time feedback. Based on our formulation, we introduce two interactive palette exploration strategies: constrained palette exploration, and for the first time, constrained palette interpolation. We demonstrate the performances of our approach on various application cases and evaluate how it helps users finding trade-offs between concurrent constraints.

show abstract

“…These techniques select colors in an image that are likely to be problematic for the user, and switch these to different colors that are more likely to be differentiable. From an early proposal by Meyer and Greenburg [1988], several methods have been developed including SmartColor [Wakita and Shimamura 2005] and a number of techniques for dealing specifically with photographic images (e.g., Kuhn et al [2008], Rasche et al [2005a], Ichikawa et al [2004]). In some cases the user can participate in the recoloring process; for example, some forms of CVD (such as anomalous trichromatism) are less severe than dichromatism, and an interactive system can allow these users to guide the recoloring process Harvey 2006, 2007].…”

Section: Recoloring Systemsmentioning

confidence: 99%

Situation-Specific Models of Color Differentiation

Flatla

Gutwin

2012

ACM Trans. Access. Comput.

View full text Add to dashboard Cite

Color is commonly used to represent categories and values in computer applications, but users with ColorVision Deficiencies (CVD) often have difficulty differentiating these colors. Recoloring tools have been developed to address the problem, but current recolorers are limited in that they work from a model of only one type of congenital CVD (i.e., dichromatism). This model does not adequately describe many other forms of CVD (e.g., more common congenital deficiencies such as anomalous trichromacy, acquired deficiencies such as cataracts or age-related yellowing of the lens, or temporary deficiencies such as wearing tinted glasses or working in bright sunlight), and so standard recolorers work poorly in many situations. In this article we describe an alternate approach that can address these limitations. The new approach, called Situation-Specific Modeling (SSM), constructs a model of a specific user's color differentiation abilities in a specific situation, and uses that model as the basis for recoloring digital presentations. As a result, SSM can inherently handle all types of CVD, whether congenital, acquired, or environmental. In this article we describe and evaluate several models that are based on the SSM approach. Our first model of individual color differentiation (called ICD-1) works in RGB color space, and a user study showed it to be accurate and robust (both for users with and without congenital CVD). However, three aspects of ICD-1 were identified as needing improvement: the calibration step needed to build the situation-specific model, and the prediction steps used in recoloring were too slow for real-world use; and the results of the model's predictions were too coarse for some uses. We therefore developed three further techniques: ICD-2 reduces the time needed to calibrate the model; ICD-3 reduces the time needed to make predictions with the model; and ICD-4 provides additional information about the degree of differentiability in a prediction. Our final result is a model of the user's color perception that handles any type of CVD, can be calibrated in two minutes, and can find replacement colors in near-real time (˜1 second for a 64-color image). The ICD models provide a tool that can greatly improve the perceptibility of digital color for many different types of CVD users, and also demonstrates situation-specific modeling as a new approach that can broaden the applicability of assistive technology.

show abstract

Detail Preserving Reproduction of Color Images for Monochromats and Dichromats

Cited by 154 publications

References 7 publications

Number of discernible colors for color-deficient observers estimated from the MacAdam limits

Number of discernible colors for color-deficient observers estimated from the MacAdam limits

Constrained palette-space exploration

Situation-Specific Models of Color Differentiation

Contact Info

Product

Resources

About