Color Image Reduction Techniques and Optimization of Penalty Functions
نویسندگان
چکیده
Reduction of number of image colors is an important task for presentation, transmission, segmentation, and compression of color images. In most cases, it is easier to process and understand an image with a limited number of colors. Color image reduction speeds up the manipulations on an image and reduces the storage cost and transmission cost. Various techniques have been proposed for color image reduction considering the noise factors, and the modifications in these techniques are still in progress. In this paper various color reduction techniques have been defined to an extent that a researcher can get an idea for the modified most efficient technique. The neural approach can be implemented for color reduction.
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