1.
Ulmamei, Andrei-Alexandru; Bira, Calin
An Approach for Implementing Electronic Image Stabilization Using an FPGA System Journal Article
In: ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY, vol. 27, no. 3-4, pp. 267-280, 2024, ISSN: 1453-8245.
Abstract | BibTeX | Tags: Electronic image stabilization; Field Programmable Gate Array; System on Chip
@article{WOS:001339559600002,
title = {An Approach for Implementing Electronic Image Stabilization Using an
FPGA System},
author = {Andrei-Alexandru Ulmamei and Calin Bira},
issn = {1453-8245},
year = {2024},
date = {2024-01-01},
journal = {ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY},
volume = {27},
number = {3-4},
pages = {267-280},
publisher = {EDITURA ACAD ROMANE},
address = {CALEA 13 SEPTEMBRIE NR 13, SECTOR 5, BUCURESTI 050711, ROMANIA},
abstract = {This paper proposes an approach for the implementation of a low-power
electronic (digital) image stabilization using an AMD/Xilinx Zynq
UltraScale+ ZU7EV device (CPU+FPGA) with a custom Linux OS. The
stabilization method is based on frame-to-frame motion detection (Harris
Corner Detector, an iterative optical flow calculator combined with a
4:2:1 down-sampler an 1:2:4 up-sampler) and an affine transformation
that applies the stabilization. The scientific contribution of this
paper resides in a combination of the most recent software algorithms
presented in literature and porting that new resulting algorithm into
hardware with the achieved performance of more than 2.5x current state
of the art, thus enabling stabilization at 4K-UHD resolution.},
keywords = {Electronic image stabilization; Field Programmable Gate Array; System on Chip},
pubstate = {published},
tppubtype = {article}
}
This paper proposes an approach for the implementation of a low-power
electronic (digital) image stabilization using an AMD/Xilinx Zynq
UltraScale+ ZU7EV device (CPU+FPGA) with a custom Linux OS. The
stabilization method is based on frame-to-frame motion detection (Harris
Corner Detector, an iterative optical flow calculator combined with a
4:2:1 down-sampler an 1:2:4 up-sampler) and an affine transformation
that applies the stabilization. The scientific contribution of this
paper resides in a combination of the most recent software algorithms
presented in literature and porting that new resulting algorithm into
hardware with the achieved performance of more than 2.5x current state
of the art, thus enabling stabilization at 4K-UHD resolution.
electronic (digital) image stabilization using an AMD/Xilinx Zynq
UltraScale+ ZU7EV device (CPU+FPGA) with a custom Linux OS. The
stabilization method is based on frame-to-frame motion detection (Harris
Corner Detector, an iterative optical flow calculator combined with a
4:2:1 down-sampler an 1:2:4 up-sampler) and an affine transformation
that applies the stabilization. The scientific contribution of this
paper resides in a combination of the most recent software algorithms
presented in literature and porting that new resulting algorithm into
hardware with the achieved performance of more than 2.5x current state
of the art, thus enabling stabilization at 4K-UHD resolution.