Leveraging Approximate Computing for IoT Image Transmission

IoT devices, constrained by limited resources, face challenges in transmitting images due to bandwidth limitations. Efficient compression techniques are essential to optimize bandwidth usage. This study focuses on enhancing the efficiency of JPEG compression. By exploring the implementation of approximate computing techniques, we aim to improve compression efficiency. In this paper, we present initial findings on approximate compression and provide insights into the factors contributing to the relatively limited effectiveness of the compression ratio.