نتایج جستجو برای: color match prediction
تعداد نتایج: 424111 فیلتر نتایج به سال:
The cone contrasts carrying different dimensions of color vision vary greatly in magnitude, yet the perceived contrast of color and luminance in the world appears similar. We examined how this perceptual balance is adjusted by adaptation to the contrast in images. Observers set the level of L vs. M and S vs. LM contrast in 1/f noise images to match the perceived strength of a fixed level of lum...
Several of the spectral match metrics considered by Imai, et al., are compared for a large number of non-metameric pairs of spectra in order to assess how accurately they track human perception as predicted by CIELAB (i.e., the extent to which the metric will exhibit a proportional relationship with CIELAB total color difference), and how precisely they do so (i.e., the relative compactness of ...
The color of prints is mainly determined by the light absorption of the inks deposited on top of paper. In order to predict the reflectance spectrum of prints, we use a spectral prediction model in which each ink is characterized by its spectral transmittance. In the present paper, we consider two classical reflectance prediction models: the Clapper-Yule model and the Williams-Clapper model. Th...
Color has a profound effect on the perception of odors. For example, strawberry flavored drinks smell more pleasant when colored red than green and descriptions of the “nose” of a wine are dramatically influenced by its color. Using functional magnetic resonance imaging (fMRI) we demonstrate a neurophysiological correlate of these crossmodal visual influences on olfactory perception. Subjects w...
Color-based indexing is an important tool in image data-base retrieval. Compared with other features of the image, color features are less sensitive to noise and background complication. Based on the human visual system’s perception of color information, this paper presents a dependent scalar quantization approach to extract the characteristic colors of an image as color features. The character...
The light color of mice that inhabit the sandy dunes of Florida's coast have served as a textbook example of adaptation for nearly a century, despite the fact that the selective advantage of crypsis has never been directly tested or quantified in nature. Using plasticine mouse models of light and dark color, we demonstrate a strong selective advantage for mice that match their local background ...
Computer graphics hardware and software is used to create a new set of tools for selecting a household paint color. Important surface reflection effects, such as gloss and pearlescence, are rendered in real time using pixel shading hardware. Unlike traditional paint chips, this feature permits colors to be evaluated on three dimensional shapes and in different surface finishes. A novel set of c...
Prediction of the dynamic crossflow ultrafiltration rate of a protein solution such as milk poses a complex non-linear problem a...
Content based image retrieval (CBIR) has been possibly the greatest significant enquiry areas in computer science for the last decade. A retrieval way which mix texture, color and shape feature is future in this paper. In this research, implemented a novel method for CBIR using Hough Transform ,DCD and DWT feature with Support vector machine (SVM) as a classifier. In the process of feature extr...
How do the colors of surfaces seen through fog depend on the chromatic properties of the fog? Prior work (e.g. Chen and D'Zmura, 1998 Perception 27 595-608) shows that the colors of surfaces seen through a transparent filter can be described by a convergence model. The convergence model takes into account color shift and change in contrast. Whether the convergence model can also be applied to f...
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