Encoding true-color images with a limited palette via soft vector clustering as an instance of dithering multidimensional signals
We introduce a general dithering scheme for multidimensional signals. This dithering scheme is based on stochastic (soft) vector quantization. We provide the formulae of the upper-bound of the quantization noise of this dithering. We provide a visual instance of the behavior of this dithering with true-color images. This is also a new method of the optimal encoding of true-color images with a limited palette.
digital signal processing digital image processing dithering multidimensional signals quantization noise reduced color depth soft vector clustering soft data clustering