TY - JOUR
T1 - Colour constancy in natural images through colour naming and sensor sharpening
AU - Vazquez-Corral, Javier
PY - 2014
Y1 - 2014
N2 - Colour is derived from three physical properties: incident light, object reflectance and sensor sensitivities. Incident light varies under natural conditions; hence, recovering scene illuminant is an important issue in computational colour. One way to deal with this problem under calibrated conditions is by following three steps, 1) building a narrow-band sensor basis to accomplish the diagonal model, 2) building a feasible set of illuminants, and 3) defining criteria to select the best illuminant. In this work we focus on colour constancy for natural images by introducing perceptual criteria in the first and third stages.
AB - Colour is derived from three physical properties: incident light, object reflectance and sensor sensitivities. Incident light varies under natural conditions; hence, recovering scene illuminant is an important issue in computational colour. One way to deal with this problem under calibrated conditions is by following three steps, 1) building a narrow-band sensor basis to accomplish the diagonal model, 2) building a feasible set of illuminants, and 3) defining criteria to select the best illuminant. In this work we focus on colour constancy for natural images by introducing perceptual criteria in the first and third stages.
UR - http://www.scopus.com/inward/record.url?scp=84907252335&partnerID=8YFLogxK
U2 - 10.5565/rev/elcvia.627
DO - 10.5565/rev/elcvia.627
M3 - Article
AN - SCOPUS:84907252335
SN - 1577-5097
VL - 13
SP - 31
JO - Electronic Letters on Computer Vision and Image Analysis
JF - Electronic Letters on Computer Vision and Image Analysis
IS - 2
ER -