Implementation of real-time Laplacian pyramid image fusion processing based on FPGA

Yajun Song; Kun Gao; Guoqiang Ni; Rong Lu

doi:10.1117/12.756574

28 November 2007 Implementation of real-time Laplacian pyramid image fusion processing based on FPGA

Yajun Song, Kun Gao, Guoqiang Ni, Rong Lu

Proceedings Volume 6833, Electronic Imaging and Multimedia Technology V; 683316 (2007) https://doi.org/10.1117/12.756574
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

In this paper, a novel method is proposed to implement Laplacian pyramid image fusion on FPGA. Firstly, implementation of image fusion algorithm based on Programable DSP (PDSP) and FPGA is compared, as well as the advantages of Laplacian pyramid for parallel processing. Secondly, the architecture and characters of Laplacian pyramid is analyzed in detail. Finally the related logical modules in FPGA are designed according to their functions of this algorithm, including controlling module, decomposing module, fusion module and reconstruction module. Inside the decomposing module, 3-stage pipeline is designed for decomposing images at each level. Three-level Laplacian pyramid image fusion algorithm is adopted through Verilog Hardware Description Language according to the designed methods forementioned. The design is verified on a real-time dual-channel image fusion system based on Virtex-4 SX35 FPGA. The experiment results show that the fusion system can realize real-time image fusion processing for dual channels 640×480 images at the rate of 25 frames per second. Comparing with input digital video stream, the output video stream delays less than 10 horizontal line clocks.

Citation Download Citation

Yajun Song, Kun Gao, Guoqiang Ni, and Rong Lu "Implementation of real-time Laplacian pyramid image fusion processing based on FPGA", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 683316 (28 November 2007); https://doi.org/10.1117/12.756574

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available