Psychophysical generation of matching images for cross‐media color reproduction

Braun, Karen M.; Fairchild, Mark D.

doi:10.1889/1.1828697

Cited by 22 publications

(38 citation statements)

References 32 publications

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“…11 These data have been collected from the Colour Science Association of Japan (CSAJ), 12 Kuo and Luo, 13 Lam and Rigg, 4 Helson et al, 14 LUTCHI, 15 Breneman, 16 and Braun and Fairchild, 17 for a total of 26, subsets which total 671 pairs of corresponding colors. The main features of these data sets are summarized in 1 and reported in Table II.…”

Section: Experimental Data Setsmentioning

confidence: 99%

Two new von Kries based chromatic adaptation transforms found by numerical optimization

Bianco

Schettini

2010

Color Research & Application

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Section: Experimental Data Setsmentioning

confidence: 99%

Two new von Kries based chromatic adaptation transforms found by numerical optimization

Bianco

Schettini

2010

Color Research & Application

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“…Historically, many of these experiments have examined the appearance of uni presented under conditions where illumination, size, and/or color of the background have been recently, in the context of image reproduction, participants have adjusted patches against va (Breneman, 1987;Zaidi et al, 1998;Fairchild, 1999;Lee and J. Morovic, 2001) or have mani monitor to produce visual matches in cross-media situations (Braun and Fairchild, 1996;Fairch Fairchild and Johnson, 1999). As these experiments move further away from uniform backgrounds t cognitively-complex stimuli such as images, it is important to know whether the history of fixation color appearance.…”

Section: Color Appearance and Chromatic Adaptationmentioning

confidence: 99%

Eye tracking observers during color image evaluation tasks

2003

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The first experiment he second experiment ns in images. Results r image in the paired from the three tasks emantic features, and peaks. In adjusting a gray square in an image to appear achromatic, observers spent 95% of their time looking only at the patch. When subjects looked around (less than , not achromatic regions, indicating that people do not seek out near-neutral regions to verify that their patch appears achromatic relative to the scene. Observers also do not scan the image in order e chromaticity of the image. In selecting the most achromatic region in an image, viewers spent 60% of the time scanning the scene. Unlike the achromatic adjustment task, foveations or similar to a visual search task.dez, 2002), and the and, 1995) have not rtain assumptions are is whether the hysical experiments correlate to visual perceptions in the real world of imaging devices and displays. Further, selecting the best psychophysical technique is often based on the confusion of the sample , and observer effort. Practical situations further dictate which method is most fitting. For example, softcopy displays make best use of the paired comparison paradigm over rank order due to the impracticality of displaying many images on the screen while maintaining high-resolution. Assuming all other factors are equal, how well does a scale obtained from one technique compare to that of another? Further, how do we know whether different experimental techniques themselves have any influence on the strategies adopted by observers? Experiment I examines whether viewing strategies are substantially different across: 1) paired comparison, 2) rank order, and 3) graphical rating tasks. Eye movement data collected in this experiment compares the locus of fixation across the three tasks to indicate which regions (in the five images viewed) received the most "foveal" attention, and whether peak areas of attention were the same across the three tasks. ABSTRACTEye movement behavior was investigated for image-quality and chromatic adaptation tasks. examined the differences between paired comparison, rank order, and graphical rating tasks, and t examined the strategies adopted when subjects were asked to select or adjust achromatic regio indicate that subjects spent about 4 seconds looking at images in the rank order task, 1.8 seconds pe comparison task, and 3.5 seconds per image in the graphical rating task. Fixation density maps correlated highly in four of the five images. Eye movements gravitated toward faces and s introspective report was not always consistent with fixation density 5% of the time), they did so early. Foveations were directed to semantic features to adapt to the averag were directed to near-neutral regions, showing behavi

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“…᭧ 1998 John Wiley & round. [8][9][10] Also, there are few people 11 who focused on study, to preview the predicted or suggested colors (on the monitor) for another output medium. For the other phase of color-deficiency, similar functions are outlined and dichromatic simulation is emphasized.…”

Section: Eg Equally Low Luminance Levels and Dark Surround Inmentioning

confidence: 99%

“…In order be close to a practical situation, the viewing conditions focused in this work were dim surround for Braun et al (1996) …”

Section: Viewing Conditionsmentioning

confidence: 99%

Cross-media performance evaluation of color models for unequal luminance levels and dim surround

et al. 1998

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A performance evaluation of color models between softcopy and hardcopy images was constructed closely following the CIE Technical Committee 1–27 guidelines. Conventionally, color models' performances were frequently evaluated under simplified environments, e.g., equally low luminance levels and dark surround. In this study, in the consideration of unequal luminance levels and dim surround, the two techniques of memory matching and paired comparison were used to assess the color similarity of two paired softcopies reproduced by four color models (i.e., von Kries, CIELAB, RLAB, and Hunt) against an original hardcopy image. Evaluated results based on the rank order of the Z scale values of thirty ordinary observers demonstrated that, on average, the Hunt model achieved the best color prediction against the worst one of the RLAB model. In addition, the aspects of screen uniformity, observer precision, and image and model dependencies were considered. © 1998 John Wiley & Sons, Inc. Col Res Appl, 23, 169–177, 1998

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Psychophysical generation of matching images for cross‐media color reproduction

Cited by 22 publications

References 32 publications

Two new von Kries based chromatic adaptation transforms found by numerical optimization

Two new von Kries based chromatic adaptation transforms found by numerical optimization

Eye tracking observers during color image evaluation tasks

Cross-media performance evaluation of color models for unequal luminance levels and dim surround

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