Power-Optimized Gaussian Filtering with Approximate Adders and logical optimization

Power-Optimized Gaussian Filtering with Approximate Adders and logical optimization

                                                                        M.Sreevani

                                                                         Assistant professor,

                                                              Institute Of Aeronautical Engineering,

                                                                                      Dundigal, India.

                                                              Email: sreevani.mrk@gmail.com

  Pravalika Boya                                 Naveen  Gadala                                              Mohan Sai Bora

Electronics and Communication                 Electronics and Communication                    Electronics and Communication

Engineering                                            Engineering                                                   Engineering

Institute Of Aeronautical Engineering,       Institute Of Aeronautical Engineering,          Institute Of Aeronautical Engineering,

            Dundigal, India.                               Dundigal, India.                                                  Dundigal, India.

Email: 21951A04E2@iare.ac.in                Email: 21951A04B2@iare.ac.in                    Email:21951A0A2@iare.ac.in

Abstract—Gaussian filters are crucial in numerous image and signal processing applications for tasks like noise reduction and smoothing. In resource-constrained environments, such as embedded and mobile devices, optimizing these filters for power efficiency is paramount. This paper focuses on designing a power-efficient Gaussian filter architecture through Design Space Exploration (DSE). The approach leverages logical optimizations and introduces approximate adders to minimize power consumption without significantly impacting performance. The trade-offs between power, area, and output quality are analyzed, with results demonstrating significant power savings while maintaining an acceptable level of image quality.

Index Terms—Gaussian filter, power-efficient architectures, design space exploration, approximated adders, logical optimiza- tion.