Encoding true-color images with a limited palette via soft vector clustering as an instance of dithering multidimensional signals.

Highlights: [•] 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. [ABSTRACT FROM AUTHOR]