Title :
Color correction for digital photographs
Author :
Gasparini, F. ; Schettini, R.
Author_Institution :
ITC, Consiglio Nazionale delle Ricerche, Milano, Italy
Abstract :
The paper describes a reliable and rapid method for detecting and removing a color cast (i.e. a superimposed dominant color) in a digital image without any a priori knowledge of its semantic content. A multi-step algorithm classifies the input images as having no cast, evident cast, ambiguous cast, or intrinsic cast (images presenting a cast due to a predominant color that must be preserved). If an evident or ambiguous cast is found, a cast remover step, a modified version of the white balance algorithm, is then applied in the two cases of evident or ambiguous casts. The method we propose has been tuned and tested with positive results on a data set of over 650 images.
Keywords :
colour photography; image classification; image colour analysis; image enhancement; ambiguous cast; color cast; digital image; digital photograph color correction; evident cast; image classification; intrinsic cast; semantic content; white balance algorithm; Detectors; Digital cameras; Digital images; Geometry; Histograms; Humans; Image color analysis; Internet; Layout; Testing;
Conference_Titel :
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN :
0-7695-1948-2
DOI :
10.1109/ICIAP.2003.1234123