IMAGE PROCESSING USING CONTENT-BASED WEIGHTED DITHERING

摘要

Image processing transforms input multi-level image data into output image data having a smaller number of levels (the input and output image data represents images formed of cells). The image processing distributes quantization error of a target cell of the image to neighbour cells in proportions determined by a set of weights. The distribution excludes neighbour cells whose data level is less than a threshold value from receiving distributed quantization error, or allows just a fraction of the quantization error to be distributed to such neighbour cells.