نتایج جستجو برای: color mapping
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Preview search with moving stimuli was investigated. The stimuli moved in multiple directions, and preview items could change either their color or their shape before onset of the new (search) displays. In Experiments 1 and 2, the authors found that (a) a preview benefit occurred even when more than 5 moving items had to be ignored, and (b) color change, but not shape change, disrupted preview ...
The CoLIP framework defines a vectorial space for color images. It is in accordance with the theories of visual perception (Weber, Fechner) as well as Hering’s trichromacy theory. It is mathematically well defined and computationally usable. This article recalls the fundamentals of the LIP framework for graytone images, and introduces the elementary operations of the vectorial structure for col...
Color alignment is one of the important processes in the 2D-3D texture mapping. In this paper, a novel method for color alignment is presented. An overview of the method is as follows. Given multiple images of a textured object taken from various positions and three-dimensional geometrical data of the object, we first estimate the surface normal direction of the object in an image using the thr...
Mappings between color spaces are ubiquitous in image processing problems such as gamut mapping, decolorization, and image optimization for color-blind people. Simple color transformations often result in information loss and ambiguities, and one wishes to find an image-specific transformation that would preserve as much as possible the structure of the original image in the target color space....
Using a paired comparison paradigm, various gamut mapping algorithms were evaluated using simple rendered images and artificial gamut boundaries. The test images consisted of simple rendered spheres floating in front of a gray background. Using CIELAB as our device-independent color space, cut-off values for lightness and chroma, based on the statistics of the images, were chosen to reduce the ...
This paper presents a novel image sequence color transfer algorithm (ISCT). It is able to render an image sequence with color characteristics borrowed from three user-given target images. The input of this algorithm consists of a single input image (I1) and three target images (T1, T2, T3). The output of the algorithm is an image sequence {Si} with N images that embeds itself with color mood va...
In this paper, a color transfer framework to evoke different emotions for images based on color combinations is proposed. The purpose of this color transfer is to change the “look and feel” of images, i.e., evoking different emotions. Colors are confirmed as the most attractive factor in images. In addition, various studies in both art and science areas have concluded that other than single col...
In this paper, we introduce a new approach to identify people in multi-camera based on AdaBoost descriptors cascade. Given the complexity of this task, we propose a new regional color feature vector based on intra and inter color histograms fusion to characterize a person in multi-camera. This descriptor is, then, integrated into an extensive comparative study with several existing color, textu...
Previously, we presented two color mapping methods for the application of daytime colors to fused nighttime (e.g., intensified and longwave infrared or thermal (LWIR)) imagery. These mappings not only impart a natural daylight color appearance to multiband nighttime images but also enhance their contrast and the visibility of otherwise obscured details. As a result, it has been shown that these...
When we imagine a train snaking through a desert, does information about the train’s speed make it into our visual mental image? In this paper, we make use of the motion aftereffect illusion (MAE) to test whether the speed of imagined visual motion modulates transfer of adaptation to a subsequent visual motion discrimination task. We compared the effects of viewing slow, medium, and fast motion...
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