Image Processing Using FPGAs

Image processing is the new gateway for numerous applications like Face recognition, Driver-less vehicles…

HIGH SPEED FPGA-GPU PROCESSING FOR 3D-OCT IMAGING

By:- Kyung Chan Jin , Kye Sung Lee , Geun Hee Kim

To realize the full benefit of the data acquisition and processing capabilities, it is preferable to increase the number of high-speed processing modules capable of running the complicated image…

Image processing using FPGA 
In the distant future with numerous possibilities in the domain of machine learning deep learning AI image processing and configuration processor together this check can achieve marbles in the field of their applications.

Acceleration of Image Classification with Caffe framework using FPGA.

Summary :

Caffe is a deep learning framework, originally developed at UC Berkeley and widely used in large-scale industrial applications such as vision, speech, and multimedia…

Accelerated Image Processing on FPGAs1

Summary :

The cameron Project has developed a language and compiler for mapping image-based applications to field programmable gate arrays (FPGA). In this paper tested FPGA technology on several applications and for image based tasks finds that FPGAs are between…

FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks

Paper By: Amir Yazdanbakhsh Michael Brzozowski Behnam Khaleghi† Soroush Ghodrati Kambiz Samadi‡ Nam Sung Kim§ Hadi Esmaeilzadeh† Alternative Computing Technologies (ACT) Lab…

FPGA acceleration of Hyperspectral Image Processing for High-Speed Detection Applications

By :- Simon Vellas, George Lentaris, Konstantinos Maragos, Dimitrios Soudris School of Electrical and Computer Engineering National Technical University of Athens, Greece, Zacharias Kandylakis, Konstantinos Karantzalos School of Rural…

Suitability of recent hardware accelerators (DSPs and FPGAs) for computer vision and image processing algorithms

Today’s life, Computer vision and it’s applications, image processing algorithms form essential components of so many industrial, medical, commercial, and research-related applications. Today’s camera systems…

FPGA Accelerates Deep Residual Learning for Image Recognition

In recent years, due to the development of deep learning and advancement in hardware technology, this resulted in a breakthrough in Image classification. Recognizing the zip code from an image got better by using the…

Parallel 2D FFT implementation on FPGA suitable for real-time MR image processing