Implementation of a Robust Framework for Low Power Approximate Multiplier Using Novel 3:2 and 4:2 Compressor for Image Processing Applications

Abstract

Background: The technique of approximation allows for a trade-off between accuracy, speed, area use, and power usage. It is essential in applications that can withstand errors because even a modest accuracy loss can have a significant impact on the result. Method: In this research, a novel approximate adder and the suggested 3:2 and 4:2 compressors are used to create a power-efficient approximation multiplier. In order to reduce the partial product while keeping a fair level of accuracy, approximate compressors are used. Result: The suggested approximate multiplier performs better in terms of LUTs, area, memory usage, and power consumption when compared to state-of-the-art work. Conclusion: The proposed approximate multiplier is applied to two sets of images for image blending to validate the results. PSNR values of 25.49 dB and 24.7 dB were attained for set 1 and set 2, respectively.