A Hybrid Approximate Multiplier for Energy Efficient Image Processing

In the field of Very Large-Scale Integration (VLSI) circuits, low power and energy-efficient solutions are desperately needed. “Urdhva Tiryagbhyam“ is one of the Sutras of Vedic Mathematics used as multiplication method in this paper. This study deals with the 8-bit Approximate Vedic Multiplier (AVM) based on the Vertical and Crosswise technique of Vedic mathematics is introduced in this project as a solution to the significant time and hardware resources consumed by multiplication operations, particularly in processors handling image processing applications. The Xilinx Vivado Design Suite simulator (EDA) tool is used for synthesis and simulation, and Verilog is used for implementation. The main goal of this research implements the approximate multiplier in real-time image processing applications. In comparison to traditional precise multipliers, this study intends to illustrate its energy-efficient capabilities by drastically cutting the power and space consumption of image processing circuits. In the age of energyefficient computing, the research findings demonstrate the significance of approximation multipliers in attaining optimal performance and compact device designs.