DEVICE-INDEPENDENT COLOR CORRECTION FOR MULTIMEDIA APPLICATIONS USINGNEURAL NETWORKS AND ABDUCTIVE MODELING APPROACHES

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.