HALOC-AxA: An Area/-Energy-Efficient Approximate Adder for Image Processing Application

TL;DR

This paper presents HALOC-AxA, a novel approximate adder optimized for energy and area efficiency, suitable for image processing applications, demonstrating improved performance and image quality in simulations.

Contribution

Introduces HALOC-AxA, a new approximate adder that outperforms existing designs in energy and area efficiency while maintaining accuracy for multimedia processing.

Findings

More energy- and area-efficient than existing adders

Achieves comparable or improved accuracy in simulations

Successfully reconstructs high-quality images in application tests

Abstract

The design of approximate adders has been widely researched to advance energy-efficient hardware for computation-intensive multimedia applications, such as image, audio, or video processing. The design of approximate adders has been widely researched to advance energy-efficient hardware for computation intensive multimedia applications, such as image/audio/video processing. Several static and dynamic approximate adders exist in the literature, each of which endeavors to balance the conflicting demands of high performance, computational accuracy, and energy efficiency. This work introduces a novel approximate adder that is more energy- and area-efficient than existing adders, while achieving improved or comparable accuracy, as demonstrated by simulation results. The proposed adder's ability to digitally reconstruct high quality images is further demonstrated by the deployment of the design for an image processing task.