@inproceedings{uea22075,
           month = {November},
          author = {C. Fredembach and G. D. Finlayson},
       booktitle = {Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications},
         address = {Albuquerque, New Mexico},
           title = {The Bright-chromagenic Algorithm for Illuminant Estimation},
         journal = {Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications},
           pages = {137--142},
            year = {2007},
             url = {https://ueaeprints.uea.ac.uk/id/eprint/22075/},
        abstract = {In this paper, we propose a new algorithm for illumi-nant estimation. We begin by reviewing the concept of chro-magenic colour constancy, where two pictures are taken from each scene: a normal one and one where a coloured filter is placed in front of the camera, and look at param-eters known to affect its performance such as filters and sensor choice. We show that the basic formulation of the chromagenic algorithm has inherent weaknesses: a need for perfectly reg-istered images and occasional large errors in illuminant es-timation. Our first contribution is to analyse the algorithm performance with respect to the reflectances present in a scene and demonstrate that fairly bright and desaturated reflectances (e.g., achromatic and pastel colours) provide significantly better chromagenic illuminant estimation. This analysis leads to the bright-chromagenic algo-rithm. We show that it not only remedies the large error problem but also allows us to relax the image registration constraint. Experiments performed on a variety of syn-thetic and real data show that the newly designed bright-chromagenic algorithm significantly -in a strict statistical sense- outperforms current illuminant estimation methods, including those having a substantially higher complexity.}
}

{"_id":"JeooEwadvnqhX2LPT","bibbaseid":"fredembach-finlayson-thebrightchromagenicalgorithmforilluminantestimation-2007","author_short":["Fredembach, C.","Finlayson, G. D."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","month":"November","author":[{"firstnames":["C."],"propositions":[],"lastnames":["Fredembach"],"suffixes":[]},{"firstnames":["G.","D."],"propositions":[],"lastnames":["Finlayson"],"suffixes":[]}],"booktitle":"Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications","address":"Albuquerque, New Mexico","title":"The Bright-chromagenic Algorithm for Illuminant Estimation","journal":"Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications","pages":"137–142","year":"2007","url":"https://ueaeprints.uea.ac.uk/id/eprint/22075/","abstract":"In this paper, we propose a new algorithm for illumi-nant estimation. We begin by reviewing the concept of chro-magenic colour constancy, where two pictures are taken from each scene: a normal one and one where a coloured filter is placed in front of the camera, and look at param-eters known to affect its performance such as filters and sensor choice. We show that the basic formulation of the chromagenic algorithm has inherent weaknesses: a need for perfectly reg-istered images and occasional large errors in illuminant es-timation. Our first contribution is to analyse the algorithm performance with respect to the reflectances present in a scene and demonstrate that fairly bright and desaturated reflectances (e.g., achromatic and pastel colours) provide significantly better chromagenic illuminant estimation. This analysis leads to the bright-chromagenic algo-rithm. We show that it not only remedies the large error problem but also allows us to relax the image registration constraint. Experiments performed on a variety of syn-thetic and real data show that the newly designed bright-chromagenic algorithm significantly -in a strict statistical sense- outperforms current illuminant estimation methods, including those having a substantially higher complexity.","bibtex":"@inproceedings{uea22075,\n month = {November},\n author = {C. Fredembach and G. D. Finlayson},\n booktitle = {Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications},\n address = {Albuquerque, New Mexico},\n title = {The Bright-chromagenic Algorithm for Illuminant Estimation},\n journal = {Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications},\n pages = {137--142},\n year = {2007},\n url = {https://ueaeprints.uea.ac.uk/id/eprint/22075/},\n abstract = {In this paper, we propose a new algorithm for illumi-nant estimation. We begin by reviewing the concept of chro-magenic colour constancy, where two pictures are taken from each scene: a normal one and one where a coloured filter is placed in front of the camera, and look at param-eters known to affect its performance such as filters and sensor choice. We show that the basic formulation of the chromagenic algorithm has inherent weaknesses: a need for perfectly reg-istered images and occasional large errors in illuminant es-timation. Our first contribution is to analyse the algorithm performance with respect to the reflectances present in a scene and demonstrate that fairly bright and desaturated reflectances (e.g., achromatic and pastel colours) provide significantly better chromagenic illuminant estimation. This analysis leads to the bright-chromagenic algo-rithm. We show that it not only remedies the large error problem but also allows us to relax the image registration constraint. Experiments performed on a variety of syn-thetic and real data show that the newly designed bright-chromagenic algorithm significantly -in a strict statistical sense- outperforms current illuminant estimation methods, including those having a substantially higher complexity.}\n}\n\n","author_short":["Fredembach, C.","Finlayson, G. 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