| Resumen |
This paper presents an approach for enhancing digital color images printed in halftoning. The method, which we call Selective Conditional Enhancement, has been applied with good results to enhance digital color images printed in halftone. Due to the repetitive nature of the process for image digitizing and the common structure of patterns used to create halftone in color images, it has been observed that the alterations of pixel colors, in general, are also repetitive. Based on the frequency of occurrence of pixels of a given color, and on the values of their Red-Green-Blue (RGB) components, we have defined eight heuristic rules. In principle, these rules define as valid those pixels having a high frequency of occurrence and as artifacts those with low frequency of occurrence. The color of less frequent artifacts is then changed to some color of any more frequent valid pixel. This approach, based also on user-defined essential colors, generates images that are notably enhanced. |
