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RISS 인기검색어
- 검색키워드
- 저자 : Juan Luis Nieves (검색결과 2 건)
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Salient and Relevant Colors in Digital Images of Paintings
Juan Luis Nieves,Luis Gomez-Robledo,Javier Romero 한국색채학회 2017 AIC 2017 Jeju Vol.2017 No.10
The painters in their works not only try to faithfully shape a scene, but to submit this representation to the painter`s mind, according to his training and aesthetic taste. We find of great interest to characterize what we can understand as relevant information in a painting. Techniques for determining "salient" information in an image have recently been developed. It is a question of determining in an image the objects or areas in which an observer focus its attention. With these techniques we can establish which the fundamental colors of a painting are. We have applied the Graph-Based Visual Saliency algorithm (GBVS) to a set of digital images of six painters (Titian, El Greco, Rubens, Velázquez, Rembrandt and Vermeer). We have obtained the number of salient colors in each image after applying a method for counting discernible colors. We have taken a step further by applying thresholds at different levels to determine which the really relevant colors in a scene are, so that we approach the subjective judgments that would give an observer of the colors that stand out in a certain painting. When we evaluate the percentage of reduction of the number of discernible colors in the salient areas, this parameter is less for Rembrandt, Velázquez and Vermeer than for Titian, El Greco and Rubens. This can show a difference in the use of colors with the period that is with the evolution from the renaissance to baroque style. However, when we have evaluated the relevant colors, there is a slight variation in the average values obtained, 15 to 20. We could conclude that the number of relevant colors in the paintings do not change so significantly as the total number of discernible colors according to authors and according to paintings.
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Power Spectra and Spectral Signatures of Natural Images Under Varying Light Illuminations
Juan Ojeda,Juan Luis Nieves,Javier Romero 한국색채학회 2017 AIC 2017 Jeju Vol.2017 No.10
Although the power spectra of natural images has been extensively analyzed and studied, the influence of daylight in modeling other second order image statistics is not fully understood and has deserved little attention. The power spectra of natural images decreases as a function of frequency and it is well known that, on a log-log scale, amplitude as function of frequency lies on a straight lines. The aim of this work was to analyze the influence of daylight changes in the power spectra and signatures derived from 600 color images, which were rendered under 108 natural illuminants with Correlated Color Temperatures (CCT) from 2,735K to 25,889K. Our results suggest that the power spectra analyzed in terms of L*, a*, and b* components shows different behaviors. It seems that luminance information do not depend on the CCT as opposed to the analysis along chromatic a* and b* image components showing differences for different daylights. The spectral slope analysis of the corresponding power law shows local minima around 5,800K in the oblique orientation and are almost constant above 12,000K for all the orientations. The spectral signatures for the color Blue-Yellow and Red-Green components also show different areas and contours across daylights, being significant for the former. A reduction of the area that encloses power spectrum greater than 60% of its maximum value are found again around a CCT of 5,500K for the chromatic channels, with higher presence of vertical and horizontal frequencies in the b* component for that CCT.
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