Abstract: A method and apparatus for classifying an input image as black and white or color is described. The method calculates a first ratio of a color pixel portion to a total pixel portion in the input image. Next, the method calculates a second ratio of the color pixel portion to a combined pixel portion in the input image, where the combined pixel portion comprises the color pixel portion and a dark black and white pixel portion. Finally, the method returns an indication the input image is black and white if the first ratio is less than a first threshold and the second ratio is less than a second threshold.

Abstract: An apparatus and method for converting an input image with a plurality of pixels to an output image using an N-dimensional conversion table with a plurality of nodes. The apparatus has a set of RAMS for storing odd-indexed nodes and even-indexed nodes for each dimension of the N-dimensional table. The apparatus also has means for retrieving for each pixel a set of output color values corresponding to nodes adjacent to the pixel in the conversion table. Finally, the apparatus has means for interpolating within each set of output color values to produce the output image.

Abstract: A method and apparatus for processing an input image to remove background color from the input image is described. The method includes the step of creating a histogram to calculate a dominant color of the input image. Next, the method determines if a threshold luminance is less than a luminance of the dominant color. If so, the method sets the output space values for RGB entries in a CMS table that match the dominant color to white. Finally, the method converts the input image to an output image by referencing the updated CMS table.