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.

Methods: In this research, a novel approximate adder and exact 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.

Results: The proposed 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.

Keywords: Approximate compressor, approximate multiplier, error-resilient application, system generator, approximate computting, image processing applications.