Image compression with meanshift based inverse colorization

We propose a meanshift segmentation based inverse colorization method for image compression. The encoder makes use of the meanshift segmentation algorithm in automatically selecting the representative pixels from the original image from which the colored image is reconstructed by the decoder. Using the modes of the clustered regions as the representative pixels, the compression rate becomes high and the reconstructed image has good visual quality.