ICC-profilers funktionalitet vid byte av tryckfärgskvalitet

This degree theme work aims to evaluate the present ICC-profile and printing ink of Dalarnas Tidningar AB. The companyhas changed printing ink quality and wants to evaluate how the present ICC-profile work with the new printingink. Four different ICC-profiles were included in the comparison.One test printing was accomplished with two different separations. Two new ICC-profile was created, as a comparingmaterial. An densitometer was used to measure the technical parameters of the printing. IT8-charts and RGB-chartswas measured with spectrophotometer. La*b*-values, CMYK-values, graybalance curves, color deflections and colorgamuts was compared on screen and on the printed material.Materials from an earlier testprinting and evalution, made by Stora Enso Kvarnsveden AB 2003, was used to evaluatethe function of Dalarnas Tidningar AB´s ICC-profile with the present printing ink quality. The IT8-chart from todaystestprinting was oppened in a program for textediting to have access to La*b*- and CMYK values. The values from theearlier testprinting was supplied from Stora Enso Kvarnsveden AB.The result of this work shows that the ICC-profile from the company, compared with de other profiles, reproduce darkershadow regions which can make loss of details. An higher saturation is recieved in the red and yellow area while thegreen and blue area lose its intensity. The profile gave images which are some contrastless and with a flat reproduction.Today printing ink quality gives more saturation and intensity in the yellow and blue area compared with former printingink. The dark tone reproduces with decreased luminance, however.

Colorizing Grey Scale Images

The purpose of this thesis is to develop a working methodology to color a grey scale image. This thesis is based on approach of using a colored reference image. Coloring grey scale images has no exact solution till date and all available methods are based on approximation. This technique of using a color reference image for approximating color information in grey scale image is among most modern techniques.Method developed here in this paper is better than existing methods of approximation of color information addition in grey scale images in brightness, sharpness, color shade gradients and distribution of colors over objects.Color and grey scale images are analyzed for statistical and textural features. This analysis is done only on basis of luminance value in images. These features are then segmented and segments of color and grey scale images are mapped on basis of distances of segments from origin. Then chromatic values are transferred between these matched segments from color image to grey scale image.Technique proposed in this paper uses better mechanism of mapping clusters and mapping colors between segments, resulting in notable improvement in existing techniques in this category.