Paper Info
Title
A Real-Time Fpga Implementation Of Visible/Near Infrared Fusion Based Image Enhancement
Abstract
Near-infrared (NIR) band sensors capture achromatic images that contain complementary details of a scene which are diminished in visible (VS) band images when the scene is obscured by haze, mist, or fog. To exploit these complementary details, special cameras are produced that can capture both VS and NIR bands. Additionally, several sophisticated VS-NIR fusion approaches have been proposed to produce enhanced VS image with high quality. However, these approaches usually encounter heavy computations that are performed off cameras, limiting its suitableness for real-time applications. In this paper, we present an efficient design and FPGA implementation of VS-NIR fusion based image enhancement approach. To be suitable for camera hardware integration and to meet video real-time requirements, the proposed implementation is designed such that the consumed FPGA resources and the number of clock cycles required for producing the fused image are kept small. To achieve this, data and calculations are reused whenever possible in addition to the parallel and pipelined operations at both data and task levels. The proposed implementation is synthesized and validated on a low-end FPGA device. The proposed implementation produces a real time, indistinguishable, and 5 times faster fused image compared with optimized C++ implementation executed on a modern computer.
Year
Venue
Keywords
2018
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
FPGA, real-time processing, near-infrared, multi-image fusion, image enhancement
Field
DocType
ISSN
Computer vision,Shift register,Computer science,Near-infrared spectroscopy,Fusion,Field-programmable gate array,Exploit,Artificial intelligence,Achromatic lens,Limiting,Computation
Conference
1522-4880
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Mohamed Awad100.34
Ahmed S. Elliethy231.72
Hussein A. Aly332.43