18740775. METHOD AND SYSTEM FOR A LOW-POWER LOSSLESS IMAGE COMPRESSION USING A SPIKING NEURAL NETWORK (Tata Consultancy Services Limited)
Contents
METHOD AND SYSTEM FOR A LOW-POWER LOSSLESS IMAGE COMPRESSION USING A SPIKING NEURAL NETWORK
Organization Name
Tata Consultancy Services Limited
Inventor(s)
Chetan Sudhakar Kadway of Kolkata (IN)
Arijit Mukherjee of Kolkata (IN)
METHOD AND SYSTEM FOR A LOW-POWER LOSSLESS IMAGE COMPRESSION USING A SPIKING NEURAL NETWORK
This abstract first appeared for US patent application 18740775 titled 'METHOD AND SYSTEM FOR A LOW-POWER LOSSLESS IMAGE COMPRESSION USING A SPIKING NEURAL NETWORK
Original Abstract Submitted
This disclosure relates generally to reducing earth-bound image volume with an efficient lossless compression technique. The embodiment thus provides a method and system for reducing earth-bound image volume based on a Spiking Neural Network (SNN) model. Moreover, the embodiments herein further provide a complete lossless compression framework comprises of a SNN-based Density Estimator (DE) followed by a classical Arithmetic Encoder (AE). The SNN model is used to obtain residual errors which are compressed by AE and thereafter transmitted to the receiving station. While reducing the power consumption during transmission by similar percentages, the system also saves in-situ computation power as it uses SNN based DE compared to its Deep Neural Network (DNN) counterpart. The SNN model has a lower memory footprint compared to a corresponding Arithmetic Neural Network (ANN) model and lower latency, which exactly fit the requirement for on-board computation in small satellite.
