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Author |
J. Nuñez; Xavier Otazu; M.T. Merino |
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A Multiresolution-Based Method for the Determination of the Relative Resolution between Images. First Application to Remote Sensing and Medical Images |
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2005 |
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International Journal of Imaging Systems and Technology, 15(5): 225–235 (IF: 0.439) |
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CAT @ cat @ NOM2005 |
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645 |
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Xavier Otazu; M. Gonzalez-Audicana; O. Fors; J. Nuñez |
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Title |
Introduction of Sensor Spectral Response Into Image Fusion Methods. Application to Wavelet-Based Methods |
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2005 |
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IEEE Transactions on Geoscience and Remote Sensing, 43(10): 2376–2385 (IF: 1.627) |
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CAT @ cat @ OGF2005 |
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564 |
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Xavier Otazu; J. Nuñez |
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Title |
Algoritmo de Clasificacion no Supervisada Basado en Wavelets. |
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2001 |
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Teledeteccion, Medio Ambiente y Cambio Global, IX Congreso Nacional de Teledeteccion, 437–440. |
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Lleida |
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CAT @ cat @ ONu2001 |
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147 |
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Xavier Otazu; C. Alejandro Parraga; Maria Vanrell |
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Title |
Towards a unified chromatic inducction model |
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2010 |
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Journal of Vision |
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VSS |
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10 |
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12:5 |
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1-24 |
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Visual system; Color induction; Wavelet transform |
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In a previous work (X. Otazu, M. Vanrell, & C. A. Párraga, 2008b), we showed how several brightness induction effects can be predicted using a simple multiresolution wavelet model (BIWaM). Here we present a new model for chromatic induction processes (termed Chromatic Induction Wavelet Model or CIWaM), which is also implemented on a multiresolution framework and based on similar assumptions related to the spatial frequency and the contrast surround energy of the stimulus. The CIWaM can be interpreted as a very simple extension of the BIWaM to the chromatic channels, which in our case are defined in the MacLeod-Boynton (lsY) color space. This new model allows us to unify both chromatic assimilation and chromatic contrast effects in a single mathematical formulation. The predictions of the CIWaM were tested by means of several color and brightness induction experiments, which showed an acceptable agreement between model predictions and psychophysical data. |
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CAT @ cat @ OPV2010 |
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1450 |
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Xavier Otazu; M. Ribo; M. Peracaula; J.M. Paredes; J. Nuñez |
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Title |
Detection of superimposed periodic signals using wavelets |
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2002 |
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Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671) |
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CAT @ cat @ ORP2002 |
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272 |
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Xavier Otazu; M. Ribo; J.M. Paredes; M. Peracaula; J. Nuñez |
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Title |
Multiresolution approach for period determination on unevenly sampled data |
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2004 |
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Monthly Notices of the Royal Astronomical Society, 351:251–219 (IF: 5.238) |
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CAT @ cat @ ORP2004 |
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451 |
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Xavier Otazu; Maria Vanrell |
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Title |
Building Perceived Colour Images. |
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2004 |
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CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 140:145 |
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Aachen (Germany) |
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CAT @ cat @ OtV2004 |
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450 |
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Xavier Otazu; Maria Vanrell |
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Title |
A surround-induction function to unify assimilation and contrast in a computational model of color apearance |
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2005 |
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Perception supplement, ECVP05 Abstracts, 34: 215 |
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CAT @ cat @ OtV2005a |
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568 |
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Xavier Otazu; Maria Vanrell |
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Title |
Perceptual representation of textured images |
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2005 |
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Journal of Imaging Science and Technology, 49(3):262–271 (IF: 0.522) |
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CAT @ cat @ OtV2005b |
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542 |
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Xavier Otazu; Maria Vanrell |
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Title |
Several lightness induction effects with a computational multiresolution wavelet framework |
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2006 |
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29th European Conference on Visual Perception (ECVP’06), Perception Suppl s, 32: 56–56 |
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Saint-Petersburg (Russia) |
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CAT @ cat @ OtV2006 |
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659 |
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Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title |
Mutiresolution Wavelet Framework Reproduces Induction Effects |
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2007 |
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Perception 36:167–167, supp |
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CAT @ cat @ OVP2007 |
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842 |
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Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title |
Multiresolution Wavelet Framework Models Brightness Induction Effects |
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2008 |
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Vision Research |
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VR |
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48 |
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5 |
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733–751 |
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CAT @ cat @ OVP2008a |
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927 |
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Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title |
Colour induction effects are modelled by a low-level multiresolution wavelet framework |
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2008 |
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Perception 37(Suppl.): 107 |
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CAT @ cat @ OVP2008b |
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1055 |
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C. Alejandro Parraga; Robert Benavente; Maria Vanrell |
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Modeling Colour-Naming Space with Fuzzy Sets |
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2007 |
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Perception 36:198–198, supp |
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CAT @ cat @ PBV2007 |
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843 |
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C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Modelling Inter-Colour Regions of Colour Naming Space |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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218–222 |
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Terrassa (Spain) |
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CGIV08 |
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969 |
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C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Psychophysical measurements to model inter-colour regions of colour-naming space |
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2009 |
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Journal of Imaging Science and Technology |
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53 |
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3 |
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031106 (8 pages) |
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image processing; Analysis |
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JCR Impact Factor 2009: 0.391
In this paper, we present a fuzzy-set of parametric functions which segment the CIE lab space into eleven regions which correspond to the group of common universal categories present in all evolved languages as identified by anthropologists and linguists. The set of functions is intended to model a color-name assignment task by humans and differs from other models in its emphasis on the inter-color boundary regions, which were explicitly measured by means of a psychophysics experiment. In our particular implementation, the CIE lab space was segmented into eleven color categories using a Triple Sigmoid as the fuzzy sets basis, whose parameters are included in this paper. The model’s parameters were adjusted according to the psychophysical results of a yes/no discrimination paradigm where observers had to choose (English) names for isoluminant colors belonging to regions in-between neighboring categories. These colors were presented on a calibrated CRT monitor (14-bit x 3 precision). The experimental results show that inter- color boundary regions are much less defined than expected and color samples other than those near the most representatives are needed to define the position and shape of boundaries between categories. The extended set of model parameters is given as a table. |
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CAT @ cat @ PBV2009 |
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1157 |
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C. Alejandro Parraga; Ramon Baldrich; Maria Vanrell |
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Accurate Mapping of Natural Scenes Radiance to Cone Activation Space: A New Image Dataset |
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2010 |
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5th European Conference on Colour in Graphics, Imaging and Vision and 12th International Symposium on Multispectral Colour Science |
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50–57 |
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The characterization of trichromatic cameras is usually done in terms of a device-independent color space, such as the CIE 1931 XYZ space. This is indeed convenient since it allows the testing of results against colorimetric measures. We have characterized our camera to represent human cone activation by mapping the camera sensor's (RGB) responses to human (LMS) through a polynomial transformation, which can be “customized” according to the types of scenes we want to represent. Here we present a method to test the accuracy of the camera measures and a study on how the choice of training reflectances for the polynomial may alter the results. |
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Joensuu, Finland |
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9781617388897 |
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CGIV/MCS |
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CAT @ cat @ PBV2010a |
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1322 |
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Author |
C. Alejandro Parraga; Robert Benavente; Maria Vanrell |
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Towards a general model of colour categorization which considers context |
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2010 |
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Perception. ECVP Abstract Supplement |
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PER |
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39 |
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86 |
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In two previous experiments [Parraga et al, 2009 J. of Im. Sci. and Tech 53(3) 031106; Benavente et al,2009 Perception 38 ECVP Supplement, 36] the boundaries of basic colour categories were measured.
In the first experiment, samples were presented in isolation (ie on a dark background) and boundaries were measured using a yes/no paradigm. In the second, subjects adjusted the chromaticity of a sample presented on a random Mondrian background to find the boundary between pairs of adjacent colours.
Results from these experiments showed significant di erences but it was not possible to conclude whether this discrepancy was due to the absence/presence of a colourful background or to the di erences in the paradigms used. In this work, we settle this question by repeating the first experiment (ie samples presented on a dark background) using the second paradigm. A comparison of results shows that
although boundary locations are very similar, boundaries measured in context are significantly di erent(more di use) than those measured in isolation (confirmed by a Student’s t-test analysis on the subject’s answers statistical distributions). In addition, we completed the mapping of colour name space by measuring the boundaries between chromatic colours and the achromatic centre. With these results we
completed our parametric fuzzy-sets model of colour naming space. |
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CAT @ cat @ PBV2010b |
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1326 |
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