In the current study we try to optimise the cancerous/normal tissue contrast perception using white light and
autofluorescence image processing. We deconvolved the RGB channels of both white light and autofluorescence
images pixel by pixel and pointed out the best contrast enhancement technique, manipulating each channel seperately.
By using false-color mapping according to a particular Look-Up Table, the borders between normal and
cancerous area of the tissue are better delineated. Cancer tissue identification was confirmed by the histological
examination that followed our investigation.