3. The method of claim 2 , wherein the computing a simplified representation of the scene further comprises: applying a chromatic transformation to accommodate for a particular illumination condition of the scene; labeling each pixel in the image with a label of a descriptive type to correspond with the descriptive type of an element of the scene to which each pixel belongs; performing adaptive smoothing of the image with an amount of smoothing around each pixel in correspondence with the descriptive type of each pixel; for each pixel, determining whether each pixel is a perceptually significant pixel or a perceptually insignificant pixel; and reapplying chromatic transformation to preserve a color appearance as perceived in the human observation.
3. The method of claim 2 , wherein the computing a simplified representation of the scene further comprises: applying a chromatic transformation to accommodate for a particular illumination condition of the scene; labeling each pixel in the image with a label of a descriptive type to correspond with the descriptive type of an element of the scene to which each pixel belongs; performing adaptive smoothing of the image with an amount of smoothing around each pixel in correspondence with the descriptive type of each pixel; for each pixel, determining whether each pixel is a perceptually significant pixel or a perceptually insignificant pixel; and reapplying chromatic transformation to preserve a color appearance as perceived in the human observation. 4. The method of claim 3 , wherein the labeling further comprises: determining if each pixel in the image represents an edge; estimating distribution of edge density in a neighborhood of the each pixel in the image; and using the distribution to determine a descriptive type of each pixel and labeling each pixel accordingly.