Cited by 4Image Enhancement TechniquesEmbedded Systems and FPGA ApplicationsFuzzy Logic and Control Systems

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

FPGA Implementation of a Fuzzy Rule Based Contrast Enhancement System for Real Time Applications

Liviu, Tigaeru·2018·2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)

Abstract

The present paper describes a pipeline digital architecture of a fuzzy rule base grayscale image contrast enhancement system. The proposed system uses a zero order Takagi-Sugeno fuzzy model, adapted to avoid the division operation in the deffuzification block and also to reduce the computational requirements for the fuzzification block. The digital architecture is optimized to benefit from the advantages provided by the Xilinx DSP48E2 slice in terms of speed and logic resource consumption. The design has been synthesized and tested on a Xilinx FPGA device and the reported results confirm its viability to be embedded in real time application systems. Also, the functionality of the proposed system was tested on a set of low contrast images, illustrating heavy traffic conditions.

Overview

Integrity signals

Registry

Crossref · 10.1109/icstcc.2018.8540721

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 1

  1. zuiderveld, 1994, Contrast Limited Adaptive Histograph Equalization, Graphic Gems IV San Diego Academic Press Professional, 474

Cited by

Sorted by citations

See all 4

Metadata

Authors
Liviu, T.
Venue
2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)
Publisher
IEEE
Published
2018-10
Volume
33
Pages
117-122
OpenAlex
W2900594982
Cited by
4
References
22
Citations by year
2024: 1 · 2021: 2 · 2020: 1
FWCI
0.23
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on System Theory, Control and Computing (ICSTCC) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Embedded Systems and FPGA Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
Keywords
Takagi-Sugeno fuzzy model, FPGA implementation, digital architecture, real-time image processing, low-contrast images, defuzzification, fuzzification

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review