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Philipp Urban

Showing results (1-10 of 25) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 4, 2023
Perceptually Optimizing Color Look-up TablesJohann Reinhard, Philipp Urban
Optics Express|October 12, 2022
Inducing robustness and plausibility in deep learning optical 3D printer modelsDanwu Chen, Philipp Urban
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 10, 2011
Toward a unified color space for perception-based image processingIngmar Lissner, Philipp Urban
Optics Express|March 17, 2021
Deep learning models for optically characterizing 3D printersDanwu Chen, Philipp Urban
Optics Express|May 9, 2023
Multi-printer learning framework for efficient optical printer characterizationDanwu Chen, Philipp Urban
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|July 3, 2010
Upgrading color-difference formulasIngmar Lissner, Philipp Urban
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 22, 2010
Paramer mismatch-based spectral gamut mappingPhilipp Urban, Roy S Berns
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 9, 2014
Image-difference prediction: from color to spectralSteven Le Moan, Philipp Urban
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2014
Color-image quality assessment: from prediction to optimizationJens Preiss, Felipe Fernandes, Philipp Urban
IEEE Computer Graphics and Applications|September 14, 2023
Cuttlefish: Pushing the Limits of Graphical 3-D PrintingAlan Brunton, Philipp Urban, Mike Potel
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 4, 2023
Perceptually Optimizing Color Look-up TablesJohann Reinhard, Philipp Urban
Optics Express|October 12, 2022
Inducing robustness and plausibility in deep learning optical 3D printer modelsDanwu Chen, Philipp Urban
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 10, 2011
Toward a unified color space for perception-based image processingIngmar Lissner, Philipp Urban
Optics Express|March 17, 2021
Deep learning models for optically characterizing 3D printersDanwu Chen, Philipp Urban
Optics Express|May 9, 2023
Multi-printer learning framework for efficient optical printer characterizationDanwu Chen, Philipp Urban
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|July 3, 2010
Upgrading color-difference formulasIngmar Lissner, Philipp Urban
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 22, 2010
Paramer mismatch-based spectral gamut mappingPhilipp Urban, Roy S Berns
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 9, 2014
Image-difference prediction: from color to spectralSteven Le Moan, Philipp Urban
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2014
Color-image quality assessment: from prediction to optimizationJens Preiss, Felipe Fernandes, Philipp Urban
IEEE Computer Graphics and Applications|September 14, 2023
Cuttlefish: Pushing the Limits of Graphical 3-D PrintingAlan Brunton, Philipp Urban, Mike Potel
Pageof 3