Work

Implementation of image processing model based on Vitis-AI architecture

Year: 2024

Type: conference-paper

Abstract: This study utilizes the ZCU102 development board with Vitis AI and Vitis IDE to establish an efficient hardware acceleration workflow for deep learning. A hardware platform integrating DPU IP was developed to support inference tasks. Pretrained models were optimized using the Vitis AI toolchain for improved FPGA runtime efficiency. Model loading and execution were implemented in C++ with Vitis AI library functions. Performance comparisons of GPU, CPU, and ZCU102 in low-light image enhancement highlight the algorithm's potential for embedded and mobile devices, offering a new direction for this technology.

DOI: 10.1145/3722405.3722409

Authors: Kaiping Sun, Jianping Xing, Yu Bai, Shuzhen Huang, Siqi He, Peng Sun

Institutions: Shandong University, Shandong University of Engineering and Vocational Technology

Language: English

Topic: Embedded Systems Design Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

OpenAlex ID: W4409832817

FWCI: 0.312

Cites: 5

Cited by: 1

Related to: 10