PMID- 35200744
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220301
IS  - 2313-433X (Electronic)
IS  - 2313-433X (Linking)
VI  - 8
IP  - 2
DP  - 2022 Feb 11
TI  - A Soft Coprocessor Approach for Developing Image and Video Processing 
      Applications on FPGAs.
LID - 10.3390/jimaging8020042 [doi]
LID - 42
AB  - Developing Field Programmable Gate Array (FPGA)-based applications is typically a 
      slow and multi-skilled task. Research in tools to support application development 
      has gradually reached a higher level. This paper describes an approach which aims 
      to further raise the level at which an application developer works in developing 
      FPGA-based implementations of image and video processing applications. The 
      starting concept is a system of streamed soft coprocessors. We present a set of 
      soft coprocessors which implement some of the key abstractions of Image Algebra. 
      Our soft coprocessors are designed for easy chaining, and allow users to describe 
      their application as a dataflow graph. A prototype implementation of a 
      development environment, called SCoPeS, is presented. An application can be 
      modified even during execution without requiring re-synthesis. The paper 
      concludes with performance and resource utilization results for different 
      implementations of a sample algorithm. We conclude that the soft coprocessor 
      approach has the potential to deliver better performance than the soft processor 
      approach, and can improve programmability over dedicated HDL cores for 
      domain-specific applications while achieving competitive real time performance 
      and utilization.
FAU - Deng, Tiantai
AU  - Deng T
AUID- ORCID: 0000-0003-4507-5746
AD  - Department of Electronics and Electrical Engineering, The University of 
      Sheffield, Sheffield S1 3JD, UK.
FAU - Crookes, Danny
AU  - Crookes D
AD  - School of Electronics, Electrical Engineering and Computer Science, Queen's 
      University Belfast, Belfast BT7 1NN, UK.
FAU - Woods, Roger
AU  - Woods R
AUID- ORCID: 0000-0001-6201-4270
AD  - School of Electronics, Electrical Engineering and Computer Science, Queen's 
      University Belfast, Belfast BT7 1NN, UK.
FAU - Siddiqui, Fahad
AU  - Siddiqui F
AUID- ORCID: 0000-0002-4334-9478
AD  - School of Electronics, Electrical Engineering and Computer Science, Queen's 
      University Belfast, Belfast BT7 1NN, UK.
LA  - eng
GR  - Not known/China Scholarship Council/
PT  - Journal Article
DEP - 20220211
PL  - Switzerland
TA  - J Imaging
JT  - Journal of imaging
JID - 101698819
PMC - PMC8880448
OTO - NOTNLM
OT  - FPGA
OT  - image algebra
OT  - image processing
OT  - soft coprocessor
OT  - soft processor
COIS- The authors declare no conflict of interest.
EDAT- 2022/02/25 06:00
MHDA- 2022/02/25 06:01
PMCR- 2022/02/11
CRDT- 2022/02/24 12:20
PHST- 2021/12/29 00:00 [received]
PHST- 2022/02/04 00:00 [revised]
PHST- 2022/02/08 00:00 [accepted]
PHST- 2022/02/24 12:20 [entrez]
PHST- 2022/02/25 06:00 [pubmed]
PHST- 2022/02/25 06:01 [medline]
PHST- 2022/02/11 00:00 [pmc-release]
AID - jimaging8020042 [pii]
AID - jimaging-08-00042 [pii]
AID - 10.3390/jimaging8020042 [doi]
PST - epublish
SO  - J Imaging. 2022 Feb 11;8(2):42. doi: 10.3390/jimaging8020042.