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Author |
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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Author |
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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Author |
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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Author |
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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Author |
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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Miscellaneous |
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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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Author |
Xavier Otazu; Maria Vanrell |
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Title |
Building Perceived Colour Images. |
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Miscellaneous |
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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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CIC |
Approved |
no |
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CAT @ cat @ OtV2004 |
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450 |
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Author |
Xavier Otazu; C. Alejandro Parraga; Maria Vanrell |
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Title |
Towards a unified chromatic inducction model |
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Journal Article |
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Year |
2010 |
Publication |
Journal of Vision |
Abbreviated Journal |
VSS |
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Volume |
10 |
Issue |
12:5 |
Pages |
1-24 |
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Keywords |
Visual system; Color induction; Wavelet transform |
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Abstract |
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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Author |
Jaime Moreno; Xavier Otazu; Maria Vanrell |
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Title |
Contribution of CIWaM in JPEG2000 Quantization for Color Images |
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Conference Article |
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Year |
2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
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132–136 |
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The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual pre-quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 without and with perceptual pre-quantization shows that the latter is not favorable in PSNR, but the recovered image is more compressed at the same or even better visual quality measured with a weighted PSNR. Perceptual criteria were taken from the CIWaM(ChromaticInductionWaveletModel). |
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Gjovik (Norway) |
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CREATE |
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CIC |
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CAT @ cat @ MOV2010b |
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1308 |
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Author |
Jaime Moreno; Xavier Otazu; Maria Vanrell |
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Title |
Local Perceptual Weighting in JPEG2000 for Color Images |
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Conference Article |
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2010 |
Publication |
5th European Conference on Colour in Graphics, Imaging and Vision and 12th International Symposium on Multispectral Colour Science |
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255–260 |
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The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual pre-quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 without and with perceptual pre-quantization shows that the latter is not favorable in PSNR, but the recovered image is more compressed at the same or even better visual quality measured with a weighted PSNR. Perceptual criteria were taken from the CIWaM (Chromatic Induction Wavelet Model). |
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Joensuu, Finland |
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9781617388897 |
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CGIV/MCS |
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CAT @ cat @ MOV2010a |
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1307 |
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Author |
Fernando Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell |
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Title |
Fast surface grading using color statistics in the CIELab space |
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2005 |
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Pattern Recognition and Image Analysis. IbPRIA 2005 |
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LNCS 3523 |
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66-673 |
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Germany |
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IbPRIA |
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CAT @ cat @ LVB2005 |
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641 |
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Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
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Title |
Who Painted this Painting? |
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2010 |
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Proceedings of The CREATE 2010 Conference |
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329–333 |
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Gjovik (Norway) |
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CREATE |
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CAT @ cat @ KWV2010 |
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1329 |
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Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Parametric Fuzzy Sets for Automatic Color Naming |
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2008 |
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Journal of the Optical Society of America A |
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25 |
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10 |
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2582–2593 |
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CAT @ cat @ BVB2008 |
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1004 |
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Robert Benavente; Maria Vanrell; Ramon Baldrich |
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A data set for fuzzy colour naming |
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2006 |
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Color Research & Application, 31(1):48–56 |
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CAT @ cat @ BVB2006 |
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590 |
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Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Estimation of Fuzzy Sets for Computational Colour Categorization |
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2004 |
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Color Research and Application, 29(5):342–353 (IF: 0.739) |
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CAT @ cat @ BVB2004 |
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484 |
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