Spectral imaging

Hyperspectral Imaging (HSI) has a wide range of applications due to its ability to capture detailed spectral information for every pixel in an image. Here are some of the key applications:

  1. Precision Agriculture: HSI allows for the monitoring of crop health, detection of diseases, nutrient deficiencies, and water stress. It is used to improve crop yields, reduce pesticide use, and optimize irrigation.
  2. Remote Sensing and Earth Observation: Hyperspectral imaging is used for environmental monitoring, such as detecting changes in vegetation, soil mapping, pollution studies, water quality assessment, and forest management.
  3. Medicine and Biomedical Applications: HSI is applied in the medical field for early disease diagnosis, such as skin cancer detection, by identifying subtle variations in the chemical composition of tissues. It is also used to monitor wounds and visualize blood vessels.
  4. Food Industry: HSI is used for quality control by detecting contaminants, adulterations, or spoilage in food products. It also helps classify food based on chemical and physical parameters.
  5. Security and Defense: Hyperspectral imaging is employed to detect hazardous materials or explosives, identify hidden objects, and classify materials based on their spectral signatures. It is also used in surveillance of sensitive areas and aerial monitoring.
  6. Mining Industry: In mining and geological analysis, HSI helps identify the mineral composition of rocks, aiding in locating mineral deposits and natural resources.
  7. Cultural Heritage Conservation: HSI is used to analyze artworks and historical artifacts, revealing hidden details, layers of paint, or material alterations, which assists in their conservation and restoration.
  8. Environmental Monitoring: It is used to assess air and water quality, detect chemical contamination, analyze sediments, and monitor natural phenomena like landslides and floods.
The Lab has been developing data processing algorithms to enhance accuracy and efficiency in spectral analysis, integrating software solutions for practical applications across various industrial sectors.

Publications

1.

RGB Color Constancy Using Multispectral Pixel Information
(Ilaria Erba, Marco Buzzelli, Raimondo Schettini) In Journal of the Optical Society of America A, volume 41, number 2, OSA, 2024.

@article{erba2024rgb,
 author = {Erba, Ilaria and Buzzelli, Marco and Schettini, Raimondo},
 year = {2024},
 month = {2},
 title = {RGB Color Constancy Using Multispectral Pixel Information},
 volume = {41},
 number = {2},
 publisher = {OSA},
 journal = {Journal of the Optical Society of America A},
 pdf = {/download/erba2024rgb.pdf},
 doi = {10.1364/JOSAA.506186}}
2.

Improving RGB illuminant estimation exploiting spectral average radiance
(Ilaria Erba, Marco Buzzelli, Jean-Baptiste Thomas, Jon Yngve Hardeberg, Raimondo Schettini) In Journal of the Optical Society of America A, volume 41, number 3, OSA, 2024.

@article{erba2024improving,
 author = {Erba, Ilaria and Buzzelli, Marco and Thomas, Jean-Baptiste and Hardeberg, Jon Yngve and Schettini, Raimondo},
 year = {2024},
 month = {3},
 title = {Improving RGB illuminant estimation exploiting spectral average radiance},
 volume = {41},
 number = {3},
 publisher = {OSA},
 journal = {Journal of the Optical Society of America A},
 pdf = {/download/erba2024improving.pdf},
 doi = {10.1364/JOSAA.510159}}
3.

Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees
(Francisco Moronta-Montero, Ramón Fernández-Gualda, Ana Belén López-Baldomero, Marco Buzzelli, Miguel Ángel Martínez-Domingo, Eva Maria Valero) In Archiving Conference, volume 21, number 1, pp. 94-100, 2024.

@inproceedings{morontamontero2024evaluation,
 author = {Moronta-Montero, Francisco and Fernández-Gualda, Ramón and López-Baldomero, Ana Belén and Buzzelli, Marco and Martínez-Domingo, Miguel Ángel and Valero, Eva Maria},
 year = {2024},
 pages = {94-100},
 title = {Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees},
 volume = {21},
 number = {1},
 booktitle = {Archiving Conference},
 url = {https://library.imaging.org/archiving/articles/21/1/19},
 pdf = {/download/morontamontero2024evaluation.pdf},
 doi = {10.2352/issn.2168-3204.2024.21.1.19}}
4.

Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset
(Simone Zini, Mirko Paolo Barbato, Flavio Piccoli, Paolo Napoletano) In Remote Sensing, volume 16, number 12, pp. 2079, Multidisciplinary Digital Publishing Institute, 2024.

@article{zini2024deep,
 author = {Zini, Simone and Barbato, Mirko Paolo and Piccoli, Flavio and Napoletano, Paolo},
 year = {2024},
 pages = {2079},
 title = {Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset},
 volume = {16},
 number = {12},
 publisher = {Multidisciplinary Digital Publishing Institute},
 journal = {Remote Sensing}}
5.

A deep scalable neural architecture for soil properties estimation from spectral information
(Flavio Piccoli, Micol Rossini, Roberto Colombo, Raimondo Schettini, Paolo Napoletano) In Computers & Geosciences, pp. 105433, Elsevier, 2023.

@article{piccoli2023deep,
 author = {Piccoli, Flavio and Rossini, Micol and Colombo, Roberto and Schettini, Raimondo and Napoletano, Paolo},
 year = {2023},
 pages = {105433},
 title = {A deep scalable neural architecture for soil properties estimation from spectral information},
 publisher = {Elsevier},
 journal = {Computers & Geosciences},
 pdf = {https://arxiv.org/pdf/2210.17314}}
6.

Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning
(Flavio Piccoli, Mirko Paolo Barbato, Marco Peracchi, Paolo Napoletano) In Sensors, volume 23, number 18, 2023.

@article{piccoli2023estimation,
 author = {Piccoli, Flavio and Barbato, Mirko Paolo and Peracchi, Marco and Napoletano, Paolo},
 year = {2023},
 title = {Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning},
 volume = {23},
 number = {18},
 journal = {Sensors},
 url = {https://www.mdpi.com/1424-8220/23/18/7876},
 pdf = {https://www.mdpi.com/1424-8220/23/18/7876/pdf?version=1694684480},
 doi = {10.3390/s23187876},
 issn = {1424-8220}}
7.

A general-purpose pipeline for realistic synthetic multispectral image dataset generation
(Marco Buzzelli, Mikhail K. Tchobanou, Raimondo Schettini, Simone Bianco) In Color and Imaging Conference, volume 31, number 1, pp. 155-160, 2023.

@inproceedings{buzzelli2023general,
 author = {Buzzelli, Marco and K. Tchobanou, Mikhail and Schettini, Raimondo and Bianco, Simone},
 year = {2023},
 pages = {155-160},
 title = {A general-purpose pipeline for realistic synthetic multispectral image dataset generation},
 volume = {31},
 number = {1},
 booktitle = {Color and Imaging Conference},
 pdf = {/download/buzzelli2023general.pdf},
 doi = {10.2352/CIC.2023.31.1.30}}
8.

RGB Illuminant Compensation using Spectral Super-resolution and Weighted Spectral Color Correction
(Marco Buzzelli, Mikhail K. Tchobanou, Raimondo Schettini, Simone Bianco) In Color and Imaging Conference, volume 31, number 1, pp. 33-37, 2023.

@inproceedings{buzzelli2023rgbcic,
 author = {Buzzelli, Marco and K. Tchobanou, Mikhail and Schettini, Raimondo and Bianco, Simone},
 year = {2023},
 pages = {33-37},
 title = {RGB Illuminant Compensation using Spectral Super-resolution and Weighted Spectral Color Correction},
 volume = {31},
 number = {1},
 booktitle = {Color and Imaging Conference},
 pdf = {/download/buzzelli2023rgbcic.pdf},
 doi = {10.2352/CIC.2023.31.1.7}}
9.

Fast-n-Squeeze: towards real-time spectral reconstruction from RGB images
(Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini) In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1131-1138, 2022.

@inproceedings{agarla2022fast,
 author = {Agarla, Mirko and Bianco, Simone and Buzzelli, Marco and Celona, Luigi and Schettini, Raimondo},
 year = {2022},
 pages = {1131-1138},
 title = {Fast-n-Squeeze: towards real-time spectral reconstruction from RGB images},
 booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
 url = {https://ieeexplore.ieee.org/document/9857194},
 pdf = {/download/Agarla-2022-CVPR-AAM.pdf},
 doi = {10.1109/CVPRW56347.2022.00122}}
10.

NTIRE 2022 Spectral Recovery Challenge and Data Set
(Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, [...], Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, [...]) In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 862-880, 2022.

@inproceedings{arad2022ntire,
 author = {Arad, Boaz and Timofte, Radu and Yahel, Rony and Morag, Nimrod and Bernat, Amir and [...], and Agarla, Mirko and Bianco, Simone and Buzzelli, Marco and Celona, Luigi and Schettini, Raimondo and [...],},
 year = {2022},
 pages = {862-880},
 title = {NTIRE 2022 Spectral Recovery Challenge and Data Set},
 booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
 pdf = {/download/Arad-2022-CVPR-AAM.pdf},
 doi = {10.1109/CVPRW56347.2022.00102}}
11.

Unsupervised segmentation of hyperspectral remote sensing images with superpixels
(Mirko Paolo Barbato, Paolo Napoletano, Flavio Piccoli, Raimondo Schettini) In Remote Sensing Applications: Society and Environment, volume 28, pp. 100823, 2022.

@article{BARBATO2022100823,
 author = {Barbato, Mirko Paolo and Napoletano, Paolo and Piccoli, Flavio and Schettini, Raimondo},
 year = {2022},
 pages = {100823},
 title = {Unsupervised segmentation of hyperspectral remote sensing images with superpixels},
 volume = {28},
 journal = {Remote Sensing Applications: Society and Environment},
 url = {https://www.sciencedirect.com/science/article/pii/S2352938522001318},
 pdf = {/download//2204.12296.pdf},
 doi = {https://doi.org/10.1016/j.rsase.2022.100823},
 issn = {2352-9385}}
12.

An analysis of spectral similarity measures
(Mirko Agarla, Simone Bianco, Luigi Celona, Raimondo Schettini, Mikhail Tchobanou) In Color and Imaging Conference, volume 2021, number 6, pp. 300-305, 2021.

@inproceedings{agarla2021spectralmeasures,
 author = {Agarla, Mirko and Bianco, Simone and Celona, Luigi and Schettini, Raimondo and Tchobanou, Mikhail},
 year = {2021},
 pages = {300-305},
 title = {An analysis of spectral similarity measures},
 volume = {2021},
 number = {6},
 organization = {Society for Imaging Science and Technology},
 booktitle = {Color and Imaging Conference},
 doi = {https://doi.org/10.2352/issn.2169-2629.2021.29.300}}
13.

On the usefulness of hyperspectral imaging for face recognition
(Simone Bianco) In Journal of Electronic Imaging, volume 25, number 6, pp. 063020, SPIE, 2016.

@article{bianco2016hyperspectral-face,
 author = {Bianco, Simone},
 year = {2016},
 pages = {063020},
 title = {On the usefulness of hyperspectral imaging for face recognition},
 volume = {25},
 number = {6},
 publisher = {SPIE},
 journal = {Journal of Electronic Imaging},
 pdf = {/download/bianco2016hyperspectral-face.pdf},
 doi = {10.1117/1.JEI.25.6.063020}}
14.

RGB-D-λ: 3D multispectral acquisition with stereo RGB cameras
(Simone Bianco, Raimondo Schettini, Alain Tremeau) In 11th joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, volume 4: VISAPP, pp. 689-696, 2016.

@inproceedings{bianco2016rgb-d,
 author = {Bianco, Simone and Schettini, Raimondo and Tremeau, Alain},
 year = {2016},
 pages = {689-696},
 title = {RGB-D-λ: 3D multispectral acquisition with stereo RGB cameras},
 volume = {4: VISAPP},
 booktitle = {11th joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications},
 pdf = {/download/bianco2016rgb-d.pdf}}
15.

Can Linear Data Projection Improve Hyperspectral Face Recognition?
(Simone Bianco) In Computational Color Imaging (CCIW'15), Fifth International Workshop, volume 9016 of Lecture Notes in Computer Science, pp. 161-170, Springer Berlin / Heidelberg, 2015.

@inproceedings{bianco2015can-linear,
 author = {Bianco, Simone},
 year = {2015},
 pages = {161-170},
 title = {Can Linear Data Projection Improve Hyperspectral Face Recognition?},
 volume = {9016},
 publisher = {Springer Berlin / Heidelberg},
 series = {Lecture Notes in Computer Science},
 booktitle = {Computational Color Imaging (CCIW'15), Fifth International Workshop}}
16.

Low-cost, high-quality spectral imaging for cultural heritage
(Simone Bianco, Francesca Gasparini, Giuseppe Claudio Guarnera, Raimondo Schettini) In Proceedings of the International Conference on Sustainable Cultural Heritage Management, pp. 117-128, 2013.

@inproceedings{bianco2013low-cost,
 author = {Bianco, Simone and Gasparini, Francesca and Guarnera, Giuseppe Claudio and Schettini, Raimondo},
 year = {2013},
 pages = {117-128},
 title = {Low-cost, high-quality spectral imaging for cultural heritage},
 isbn = {978-88-548-6430-6},
 booktitle = {Proceedings of the International Conference on Sustainable Cultural Heritage Management}}
17.

Applications of Spectral Imaging and Reproduction to Cultural Heritage
(Simone Bianco, Alessandro Colombo, Francesca Gasparini, Raimondo Schettini, Silvia Zuffi) Chapter in Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks, pp. 183-213, CRC Press, 2011.

@inbook{bianco2011applications-spectral,
 author = {Bianco, Simone and Colombo, Alessandro and Gasparini, Francesca and Schettini, Raimondo and Zuffi, Silvia},
 year = {2011},
 pages = {183-213},
 title = {Applications of Spectral Imaging and Reproduction to Cultural Heritage},
 publisher = {CRC Press},
 booktitle = {Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks}}
18.

Accounting for Inks Interaction in the Yule-Nielsen Spectral Neugebauer Model
(Silvia Zuffi, Simone Santini, Raimondo Schettini) In Journal of Imaging Science and Technology, volume 50, number 1, pp. 35-44, IS&T, 2006.

@article{zuffi2006accounting-inks,
 author = {Zuffi, Silvia and Santini, Simone and Schettini, Raimondo},
 year = {2006},
 pages = {35-44},
 title = {Accounting for Inks Interaction in the Yule-Nielsen Spectral Neugebauer Model},
 volume = {50},
 number = {1},
 publisher = {IS\&T},
 journal = {Journal of Imaging Science and Technology},
 pdf = {/download/zuffi2006accounting-inks.pdf},
 doi = {10.2352/J.ImagingSci.Technol.(2006)50:1(35)}}
19.

Spectral based color imaging using RGB digital still cameras
(Simone Bianco, Francesca Gasparini, Raimondo Schettini) Atti della II Conferenza Nazionale del Colore, 2006.

@misc{bianco2006spectral-based,
 author = {Bianco, Simone and Gasparini, Francesca and Schettini, Raimondo},
 year = {2006},
 title = {Spectral based color imaging using RGB digital still cameras},
 howpublished = {Atti della II Conferenza Nazionale del Colore}}
20.

An affordable multispectral imaging system for the digital museum
(Gianluca Novati, Paolo Pellegri, Raimondo Schettini) In International Journal on Digital Libraries, volume 5, number 3, pp. 167-178, Springer, 2005.

@article{novati2005affordable-multispectral,
 author = {Novati, Gianluca and Pellegri, Paolo and Schettini, Raimondo},
 year = {2005},
 pages = {167-178},
 title = {An affordable multispectral imaging system for the digital museum},
 volume = {5},
 number = {3},
 publisher = {Springer},
 journal = {International Journal on Digital Libraries},
 pdf = {/download/novati2005affordable-multispectral.pdf}}
21.

Spectral-based printer modeling and characterization
(Silvia Zuffi, Raimondo Schettini, Giancarlo Mauri) In Journal of Electronic Imaging, volume 14, number 2, pp. 023008, SPIE, 2005.

@article{zuffi2005spectral-based-printer,
 author = {Zuffi, Silvia and Schettini, Raimondo and Mauri, Giancarlo},
 year = {2005},
 pages = {023008},
 title = {Spectral-based printer modeling and characterization},
 volume = {14},
 number = {2},
 publisher = {SPIE},
 journal = {Journal of Electronic Imaging},
 pdf = {/download/zuffi2005spectral-based-printer.pdf}}
22.

An experience in multispectral mosaicing
(Gianluca Novati, Paolo Pellegri, Raimondo Schettini) In Color Imaging X: Processing, Hardcopy, and Applications, volume 5667, pp. 84-94, SPIE, 2005.

@inproceedings{novati2005experience-multispectral,
 author = {Novati, Gianluca and Pellegri, Paolo and Schettini, Raimondo},
 year = {2005},
 pages = {84-94},
 title = {An experience in multispectral mosaicing},
 volume = {5667},
 publisher = {SPIE},
 booktitle = {Color Imaging X: Processing, Hardcopy, and Applications},
 doi = {10.1117/12.586779}}
23.

Spectral metrics and their ability to predict perceptual color differences: an evaluation
(Gianluca Novati, Paolo Pellegri, Raimondo Schettini) volume 13, pp. 71-78, 2005.

@misc{novati2005spectral-metrics,
 author = {Novati, Gianluca and Pellegri, Paolo and Schettini, Raimondo},
 year = {2005},
 pages = {71-78},
 title = {Spectral metrics and their ability to predict perceptual color differences: an evaluation},
 volume = {13}}
24.

S-CMS: Towards the definition of a Spectral Color Management System
(Gianluca Novati, Paolo Pellegri, Raimondo Schettini, Silvia Zuffi) volume 13, pp. 9-14, 2005.

@misc{novati2005s-cms-towards,
 author = {Novati, Gianluca and Pellegri, Paolo and Schettini, Raimondo and Zuffi, Silvia},
 year = {2005},
 pages = {9-14},
 title = {S-CMS: Towards the definition of a Spectral Color Management System},
 volume = {13}}
25.

Training set selection for multispectral imaging system Characterisation
(Paolo Pellegri, Gianluca Novati, Raimondo Schettini) In The Journal of imaging science and technology, volume 48, number 3, pp. 203-210, IS&T, 2004.

@article{pellegri2004training-set,
 author = {Pellegri, Paolo and Novati, Gianluca and Schettini, Raimondo},
 year = {2004},
 pages = {203-210},
 title = {Training set selection for multispectral imaging system Characterisation},
 volume = {48},
 number = {3},
 publisher = {IS\&T},
 journal = {The Journal of imaging science and technology},
 pdf = {/download/pellegri2004training-set.pdf},
 issn = {1062-3701}}
26.

An empirical approach for spectral color printers characterization
(Raimondo Schettini, Daniela Bianucci, Giancarlo Mauri, Silvia Zuffi) In Second European Conference on Color in Graphics, Imaging and Vision, pp. 393-397, IEEE, 2004.

@inproceedings{schettini2004empirical-approach,
 author = {Schettini, Raimondo and Bianucci, Daniela and Mauri, Giancarlo and Zuffi, Silvia},
 year = {2004},
 pages = {393-397},
 title = {An empirical approach for spectral color printers characterization},
 publisher = {IEEE},
 booktitle = {Second European Conference on Color in Graphics, Imaging and Vision}}
27.

Training set and filters selection for the efficient use of multispectral acquisition systems
(Paolo Pellegri, Gianluca Novati, Raimondo Schettini) In Second European Conference on Color in Graphics, Imaging and Vision, pp. 393-, IEEE, 2004.

@inproceedings{pellegri2004training-set1,
 author = {Pellegri, Paolo and Novati, Gianluca and Schettini, Raimondo},
 year = {2004},
 pages = {393-},
 title = {Training set and filters selection for the efficient use of multispectral acquisition systems},
 publisher = {IEEE},
 booktitle = {Second European Conference on Color in Graphics, Imaging and Vision}}
28.

Acquisition and Mosaicking of Large / High-Resolution Multi- / Hyper-Spectral Images
(Gianluca Novati, Paolo Pellegri, Raimondo Schettini) 2004.

@misc{novati2004acquisition-mosaicking,
 author = {Novati, Gianluca and Pellegri, Paolo and Schettini, Raimondo},
 year = {2004},
 title = {Acquisition and Mosaicking of Large / High-Resolution Multi- / Hyper-Spectral Images}}
29.

Spectral-based printer modeling and characterization
(Silvia Zuffi, Raimondo Schettini, Giancarlo Mauri) pp. 52-59, 2004.

@misc{zuffi2004spectral-based-printer,
 author = {Zuffi, Silvia and Schettini, Raimondo and Mauri, Giancarlo},
 year = {2004},
 pages = {52-59},
 title = {Spectral-based printer modeling and characterization}}
30.

Selection of filters for multispectral acquisition using the filter vectors analysis method
(Gianluca Novati, Paolo Pellegri, Raimondo Schettini) In Color Imaging IX: Processing, Hardcopy, and Applications, volume 5293, pp. 20-26, SPIE, 2003.

@inproceedings{novati2003selection-filters,
 author = {Novati, Gianluca and Pellegri, Paolo and Schettini, Raimondo},
 year = {2003},
 pages = {20-26},
 title = {Selection of filters for multispectral acquisition using the filter vectors analysis method},
 volume = {5293},
 publisher = {SPIE},
 booktitle = {Color Imaging IX: Processing, Hardcopy, and Applications},
 doi = {10.1117/12.525358}}
31.

Selection of training sets for the characterization of multispectral imaging systems
(Paolo Pellegri, Gianluca Novati, Raimondo Schettini) In The Conference on Image Processing, Image Quality, Image Capture Systems, pp. 479-484, IS&T, 2003.

@inproceedings{pellegri2003selection-training,
 author = {Pellegri, Paolo and Novati, Gianluca and Schettini, Raimondo},
 year = {2003},
 pages = {479-484},
 title = {Selection of training sets for the characterization of multispectral imaging systems},
 publisher = {IS\&T},
 booktitle = {The Conference on Image Processing, Image Quality, Image Capture Systems}}
32.

Spectral-based characterization of inkjet printers by neural and genetic algorithms
(Silvia Zuffi, Raimondo Schettini, Giancarlo Mauri) In The Conference on Image Processing, Image Quality, Image Capture Systems, pp. 461-466, IS&T, 2003.

@inproceedings{zuffi2003spectral-based-characterization,
 author = {Zuffi, Silvia and Schettini, Raimondo and Mauri, Giancarlo},
 year = {2003},
 pages = {461-466},
 title = {Spectral-based characterization of inkjet printers by neural and genetic algorithms},
 publisher = {IS\&T},
 booktitle = {The Conference on Image Processing, Image Quality, Image Capture Systems}}
33.

Using genetic algorithms for spectral-based printer characterization
(Silvia Zuffi, Raimondo Schettini, Giancarlo Mauri) In Color Imaging VIII: Processing, Hardcopy, and Applications, volume 5008, pp. 268-275, SPIE, 2003.

@inproceedings{zuffi2003using-genetic,
 author = {Zuffi, Silvia and Schettini, Raimondo and Mauri, Giancarlo},
 year = {2003},
 pages = {268-275},
 title = {Using genetic algorithms for spectral-based printer characterization},
 volume = {5008},
 publisher = {SPIE},
 booktitle = {Color Imaging VIII: Processing, Hardcopy, and Applications},
 doi = {10.1117/12.472720}}