TY - JOUR
T1 - 一种基于 FPGA 的红外图像细节增强加速方法
AU - Shi, Haobin
AU - Hu, Hangyu
N1 - Publisher Copyright:
©2022 Journal of Northwestern Polytechnical University.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - Among the many cockpit human-computer interaction systems of airborne, vehicle-mounted, and shipborne platforms, the image detail enhancement technology can improve the ability of personnel to interpret infrared images, which has very important application requirements. The enhanced algorithm running on the embedded computing platform needs to have a higher processing speed and smaller time delay in meeting the needs of real-time interaction. The current infrared video sensor usually has a lower resolution, and the image detail enhancement algorithm still can achieve real-time processing performance on a homogeneous multi-core CPU processing platform. However, as the resolution of platform sensors continues to increase, image processing speed and time delay are difficult to meet application requirements. We propose a method for enhancing and accelerating infrared image details for FPGA platforms. By considering the FPGA′s specific domain software and hardware computing architecture, the traditional bilateral filtering image details algorithm is accelerated using local cache and search table, so that real-time processing performance can still be achieved under the input image of the 4k resolution, while almost no additional memory access delay is added. While ensuring the processing effect, the algorithm greatly improves the processing and delay indicators to meet the application requirements of embedded equipment in specific fields such as the cockpit human-computer interaction system.
AB - Among the many cockpit human-computer interaction systems of airborne, vehicle-mounted, and shipborne platforms, the image detail enhancement technology can improve the ability of personnel to interpret infrared images, which has very important application requirements. The enhanced algorithm running on the embedded computing platform needs to have a higher processing speed and smaller time delay in meeting the needs of real-time interaction. The current infrared video sensor usually has a lower resolution, and the image detail enhancement algorithm still can achieve real-time processing performance on a homogeneous multi-core CPU processing platform. However, as the resolution of platform sensors continues to increase, image processing speed and time delay are difficult to meet application requirements. We propose a method for enhancing and accelerating infrared image details for FPGA platforms. By considering the FPGA′s specific domain software and hardware computing architecture, the traditional bilateral filtering image details algorithm is accelerated using local cache and search table, so that real-time processing performance can still be achieved under the input image of the 4k resolution, while almost no additional memory access delay is added. While ensuring the processing effect, the algorithm greatly improves the processing and delay indicators to meet the application requirements of embedded equipment in specific fields such as the cockpit human-computer interaction system.
KW - acceleration
KW - airborne
KW - FPGA
KW - image detail Enhancement
UR - http://www.scopus.com/inward/record.url?scp=85139734085&partnerID=8YFLogxK
U2 - 10.1051/jnwpu/20224030524
DO - 10.1051/jnwpu/20224030524
M3 - 文章
AN - SCOPUS:85139734085
SN - 1000-2758
VL - 40
SP - 524
EP - 529
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 3
ER -