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Open Access Color Enhancement of Digital Images by Experts and Preference Judgments by Observers

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We studied the preference judgment of pictorial images by image experts and naive observers. We first asked image experts to improve pictorial images the way they preferred. Then, we showed the different versions of each image to naive observers and asked them which version they preferred. To enhance an image, an expert divides it into large areas of interest, which mainly correspond to natural colors. To assess their preference judgments, naive observers principally focus on natural colors like sky, skin, or grass when present. A closer analysis of the digital image files showed that the segmentation process used by the experts allows to apply different corrections on the different objects. We used the previous work on memory colors by Yendrikhovskij and we showed that, to enhance an image, an expert moves the color space coordinates of identified zones towards those of memory colors corresponding to the objects being represented. The expert also follows some rules: the corrections must be plausible inside each segment and for the whole image, in relation with the illuminant of the scene. The images are accepted by observers in relation with the presence of memory colors and when the treatment of the whole image seems coherent.

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Document Type: Research Article

Affiliations: 1: Océ Print Logic Technologies, 1, rue Jean Lemoine, 94015 Créteil, France; Université Pierre et Marie Curie, Laboratoire des Instruments et Systèmes d'Île de France, 3 rue Galilée, 94200 Ivry sur Seine, Paris, France 2: Ecole Nationale Supérieure des Télécommunications-CNRS, Département TSI, 46, rue Barrault, 75013 Paris, France 3: Muséum National d'Histoire Naturelle, Centre de Recherches sur la Conservation des Documents Graphiques, 36 rue Geoffroy Saint-Hilaire, 75005 Paris, France 4: Université Pierre et Marie Curie, Laboratoire des Instruments et Systémes d'Île de France, 3 rue Galilée, 94200 Ivry sur Seine, Paris, France 5: Oce Print Logic Technologies, 1, rue Jean Lemoine, 94015 Créteil, France

Publication date: 2006-01-01

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

    IS&T's JIST-first publication option allows authors wishing to present their work at conferences, but have a journal citation for their paper, to submit a paper to JIST that follows the same rigorous peer-review vetting and publication process as traditional JIST articles, but with the benefit of a condensed time-to-publication time frame and guaranteed conference presentation slot.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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