An efficient visual saliency detection model based on Ripplet transform

Andrushia, A. Diana; Thangarajan, R.

doi:10.1007/s12046-017-0627-7

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…The proposed scheme extracts the novelty part of an image using the log spectrum representation [52]- [54]. Saliency map uses the novelty part of the image, which is independent of the image, and redundant information cannot be suppressed by the coding system [21], [41]. Thus, the structural saliency map generated for the original RoI and watermarked RoI (attacked) will be identical, and subsequently H map will also be identical.…”

Section: ) Hiding Capacity Map (Hmap) Generationmentioning

confidence: 99%

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT

et al. 2022

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With the growth in Internet and digital technology, Internet of Medical Things (IoMT) and Telemedicine have become buzzwords in healthcare. A large number of medical images and information is shared through a public network in these applications. This paper proposes a region-based hybrid Medical Image Watermarking (MIW) scheme to ensure the authenticity, authorization, integrity, and confidentiality of the medical images transmitted through a public network in IoMT. In the proposed scheme, medical image is segmented into Region of Interest (RoI) and Region of Non-Interest (RoNI). RoI tamper detection and recovery bits are embedded in RoI to ensure the integrity of the medical image. RoI is watermarked using adaptive Least Significant Bit (LSB) substitution with respect to the hiding capacity map for higher RoI imperceptibility and accuracy in tamper detection and recovery. Electronic Patient Record (EPR) is compressed using Huffman coding and encrypted using a pseudo-random key (secret key) to provide higher confidentiality and payload. Encrypted EPR, QR code of hospital logo, and RoI recovery bits are embedded in RoNI using Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD) hybrid transforms to achieve a robust watermark. The proposed scheme is tested under various geometric and non-geometric attacks such as filtering, compression, rotation, salt and pepper noise and shearing. The evaluation results demonstrate that the proposed scheme has high imperceptibility, robustness, security, payload, tamper detection, and recovery accuracy under image processing attacks. Therefore, the proposed scheme can be used in the transmission of medical images and EPR in IoMT. Relevance of the proposed scheme is established by its superior performance in comparison to some of the popular existing schemes.

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Section: ) Hiding Capacity Map (Hmap) Generationmentioning

confidence: 99%

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT

et al. 2022

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“…Figure 14 presents the relationship amid the pixel value and strength of reference and heated M20 specimens. A second-order regression equation is developed to evaluate the strength of specimens based on pixel values (Diana Andrushia and Thangarajan, 2017). Figure 15 shows the relationship between the pixel value and strength of reference and heated M50 specimens.…”

Section: Image Analysismentioning

confidence: 99%

Strength and microstructure characteristics of concrete with different grade exposed to standard fire

Thanaraj

Anand

Arulraj

2020

JSFE

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Purpose The purpose of this study is to investigate the effect of standard fire on the strength and microstructure properties of concrete with different strength grades. Design/methodology/approach Different strength grades of concrete used for the investigation are M20, M30, M40 and M50. An electrical bogie hearth furnace was developed to simulate the International Standards Organization 834 standard fire curve.Concrete samples were subjected to high temperatures of 925, 1,029, 1,090 and 1,133°C for the duration of 1, 2, 3 and 4 h, respectively, as per standard fire curve. Compressive strength, tensile strength, thermal crack pattern and spalling of heated concrete specimens were evaluated by experimental investigation. Scanning electron microscopy and thermo-gravimetric analysis were performed to investigate the microstructure properties of heated concrete specimens. Findings Test results indicated reduction in the strength and changes in the microstructure properties of concrete exposed to elevated temperature. The degree of weight and the strength loss were found to be higher for concrete with higher grades. An empirical relation is proposed to determine the residual strength of concrete with different strength grade using regression analysis. Social implications Results of this research will be useful for the design engineers to understand the behavior of concrete exposed to elevated temperature as per standard fire. Originality/value When concrete is exposed to elevated temperature, its internal microstructure changes, thereby strength and durability of concrete deteriorates. The performance of concrete with different strength grade exposed to standard fire is well understood. This research’s findings will be useful for the designers to understand more about fire resistance of concrete. A simple relationship is proposed to determine the residual strength of concrete exposed to various durations of heating.

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“…Important and unimportant regions are segregated to perform image compression [21], segmentation [22], etc. By incorporating visual saliency analysis, the overall performance of the system is high with respect to performance metrics [23]. Many neurodegenerative diseases have very challenging image patterns that are not captured by region of interest (ROI) calculations and are time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Visual-Saliency-Based Abnormality Detection for MRI Brain Images—Alzheimer’s Disease Analysis

et al. 2021

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In recent years, medical image analysis has played a vital role in detecting diseases in their early stages. Medical images are rapidly becoming available for various applications to solve human problems. Therefore, complex medical features are needed to develop a diagnostic system for physicians to provide better treatment. Traditional methods of abnormality detection suffer from misidentification of abnormal regions in the given data. Visual-saliency detection methods are used to locate abnormalities to improve the accuracy of the proposed work. This study explores the role of a visual saliency map in the classification of Alzheimer’s disease (AD). Bottom-up saliency corresponds to image features, whereas top-down saliency uses domain knowledge in magnetic resonance imaging (MRI) brain images. The novelty of the proposed method lies in the use of an elliptical local binary pattern descriptor for low-level MRI characterization. Ellipse-like topologies help to obtain feature information from different orientations. Extensively directional features at different orientations cover the micro patterns. The brain regions of the Alzheimer’s disease stages were classified from the saliency maps. Multiple-kernel learning (MKL) and simple and efficient MKL (SEMKL) were used to classify Alzheimer’s disease from normal controls. The proposed method used the OASIS dataset and experimental results were compared with eight state-of-the-art methods. The proposed visual saliency-based abnormality detection produces reliable results in terms of accuracy, sensitivity, specificity, and f-measure.

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An efficient visual saliency detection model based on Ripplet transform

Cited by 12 publications

References 39 publications

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT

Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT

Strength and microstructure characteristics of concrete with different grade exposed to standard fire

Visual-Saliency-Based Abnormality Detection for MRI Brain Images—Alzheimer’s Disease Analysis

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