Fast prototyping of an FPGA-based high level image coprocessor using Handel-C

K. Benkrid; S. Sukhsawas; S. Belkacemi

doi:10.1117/12.604961

1 June 2005 Fast prototyping of an FPGA-based high level image coprocessor using Handel-C

K. Benkrid, S. Sukhsawas, S. Belkacemi

Proceedings Volume 5823, Opto-Ireland 2005: Imaging and Vision; (2005) https://doi.org/10.1117/12.604961
Event: OPTO-Ireland, 2005, Dublin, Ireland

Abstract

FPGA technology enjoys both the high performance of a dedicated hardware solution and the flexibility of software that is offered by its inherent reprogrammability feature. Image Processing is one application area that can benefit greatly from FPGAs performance and flexibility. This paper presents the design and implementation of a high-level reconfigurable image coprocessor on FPGAs using the Handel-C hardware language. The latter allows non hardware specialists to program FPGAs at a high level using a C-like syntax, albeit with hardware architectures in mind. It hence allows for rapid development of FPGA applications. This is illustrated in this paper in the case of an image coprocessor whose instruction set is based on the operators of Image Algebra. Central to this instruction set are the five core neighbourhood operations of Image Algebra: Convolution, Additive Maximum, Additive Minimum, Multiplicative Maximum and Multiplicative Minimum. These are parameterised in terms of the neighbourhood operation’s window coefficients, window size and image size. Handel-C language was used to design the Image Coprocessor with a fully tested prototype on Celoxica Virtex-E based RC1000-PP PCI board. The paper presents an overview of the approach used to generate FPGA architectures dynamically for the Image Coprocessor using Handel-C, as well as a sample of implementation results.

Citation Download Citation

K. Benkrid, S. Sukhsawas, and S. Belkacemi "Fast prototyping of an FPGA-based high level image coprocessor using Handel-C", Proc. SPIE 5823, Opto-Ireland 2005: Imaging and Vision, (1 June 2005); https://doi.org/10.1117/12.604961

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