Recently, techniques based on Genetic Algorithms ahev shown promise in this area. Existing techniques such as Median filtering are often too harsh and destroy important image structure. This project will use soft morphological filters to improve image quality. A further artefact is the softening of images when archive material is caled up from conventional to large screen formats. The images will be sharpened by applying non-linear filters to adjust signal gradients.
Colour bleeding is a serious problem in all types of digital colour images.
As a result of the lower resolution of colour components, the colour edges are not in alignment with the higher resolution luminance edges. Hence the colour appears to bleed out from bright objects onto the background. This problem may be corrected by applying appropriate segmentation and registration techniques. This is carried out either through much labour-intensive cutting and pasting or by projecting onto a plain background screen. With robust object recognition and tracking methods it will be possible to implement automatic key generation from existing material without the CSO background.