An efficient data compression method for artificial vision systems and its low energy implementation using ASIP technology

This paper proposes an efficient data compression method for artificial vision systems based on visual cortex stimulation. These systems require wireless communication between inside and outside of human body, which consumes large amount of energy for data transmission. In order to reduce the energy consumption, efficient and less power consuming data compression method is required. The proposed method takes advantage of the appearance frequency of stimulation data pattern. Experimental results show that the proposed compression method achieves more than 81% of data compression rate, and energy reduction ratios by an application specific instruction-set processor implementation is 85% in compression and 36% in decompression compared to its base processor, respectively.