V. Shastri et al., DEVICE-INDEPENDENT COLOR CORRECTION FOR MULTIMEDIA APPLICATIONS USINGNEURAL NETWORKS AND ABDUCTIVE MODELING APPROACHES, Expert systems, 15(2), 1998, pp. 110-119
Citations number
26
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Theory & Methods","Computer Science Artificial Intelligence","Computer Science Theory & Methods
Although color has appeal for developers and consumers alike, color re
production poses a major problem in many computer based applications i
ncluding multimedia and desktop publishing. The problem arises because
of the device-independence of color, and the way each device processe
s color. Matching the appearance of monitor and print images, and achi
eving satisfactory results is complex. Not only are there fundamental
differences between computer screen (additive) and printers (subtracti
ve), but subtractive color is in general more prang to errors due to d
ye inadequacies. In order to control the error in porting color; diffe
rent techniques have been applied. In this paper; the utilization of a
rtificial neural networks as well as abductive modeling approaches to
color error reduction are introduced from an RGB (Red Green Blue) colo
r model perspective. Analysis of the results and on-going research iss
ues are discussed.