Adaptive image watermarking using human perception based fuzzy inference system

Jamali, Maedeh; Rafiei, Shima; Soroushmehr, S. M. Reza; Karimi, Nader; Shirani, Shahram; Najarian, Kayvan; Samavi, Shadrokh

doi:10.3233/jifs-171805

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…In fuzzy rules, a verbal description is associated with another verbal description (Cepeda-Negrete and Sanchez-Yanez, 2015; Sharma and Verma, 2018; Jamali et al , 2018). For creating a fuzzy expert system, a fuzzy relation is assigned to each fuzzy rule, obtained through fuzzy implication operators.…”

Section: Methodology and Proposed Modelmentioning

confidence: 99%

“…In order to design a fuzzy inference system, the fuzzy sets of parameters and fuzzy IF-THEN rules are developed in MATLAB software (Figure 4). In fuzzy rules, a verbal description is associated with another verbal description (Cepeda-Negrete and Sanchez-Yanez, 2015; Sharma and Verma, 2018;Jamali et al, 2018). For creating a fuzzy expert system, a fuzzy relation is assigned to each fuzzy rule, obtained through fuzzy implication operators.…”

Section: Fuzzy Inferences System (Fis)mentioning

confidence: 99%

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Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model

Azimian

Karbasian

Atashgar

et al. 2021

JQME

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PurposeThis paper addresses special reliability-centered maintenance (RCM) strategies for one-shot devices by providing fuzzy inferences system with the assumption that, to data, there is no data available on their maintenance. As far as one-shot devices are concerned, the relevant data is inadequate.Design/methodology/approachIn this paper, a fuzzy expert system is proposed to effectively select RCM strategies for one-shot devices. In this research: (1) a human expert team is provided, (2) spatial RCM strategies for one-shot devices and parameters bearing upon those strategies are determined, (3) the verbal variables of the expert team are transformed into fuzzy sets, (4) the relationship between parameters and strategies are designed whereupon a model is developed by MATLAB software, (5) Finally, the model is applied to a real-life one-shot system.FindingsThe finding of this study indicates that the proposed fuzzy expert system can determine the parameters affecting the choice of the appropriate one-shot RCM strategies, and a fuzzy inference system can help for effective decision making.Originality/valueThe developed model can be used as a fast and reliable method for determining an appropriate one-shot RCM strategy, whose results can be relied upon with a suitable approximation in respect of the behavior test. To the best authors’ knowledge, this problem is not addressed yet.

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Section: Methodology and Proposed Modelmentioning

confidence: 99%

Section: Fuzzy Inferences System (Fis)mentioning

confidence: 99%

Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model

Azimian

Karbasian

Atashgar

et al. 2021

JQME

View full text Add to dashboard Cite

show abstract

“…Some approaches use multi transforms. For example in [9], DCT and DWT transforms are used together. The proposed method is a combination of DCT, DWT and fuzzy system for embedding.…”

Section: Introductionmentioning

confidence: 99%

Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation

Jamali

Bagheri

Karimi

et al. 2020

2020 25th International Computer Conference, Computer Society of Iran (CSICC)

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One of the effective methods for the preservation of copyright ownership of digital media is watermarking. Different watermarking techniques try to set a tradeoff between robustness and transparency of the process. In this research work, we have used color space conversion and frequency transform to achieve high robustness and transparency. Due to the distribution of image information in the RGB domain, we use YUV color space, which concentrates the visual information in the Y channel. Embedding of the watermark is performed in the DCT coefficients of the specific wavelet subbands. Experimental results show high transparency and robustness of the proposed method.

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A Blind Watermarking Scheme Using Adaptive Neuro-Fuzzy Inference System Optimized by BP Network and LS Learning Model

Yang

Cao

Zhang

et al. 2019

Cyberspace Safety and Security

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Adaptive image watermarking using human perception based fuzzy inference system

Cited by 6 publications

References 32 publications

Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model

Appropriate strategy selection for reliability-centered maintenance of one-shot systems using fuzzy model

Robustness and Imperceptibility Enhancement in Watermarked Images by Color Transformation

A Blind Watermarking Scheme Using Adaptive Neuro-Fuzzy Inference System Optimized by BP Network and LS Learning Model

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