The Experts below are selected from a list of 17112 Experts worldwide ranked by ideXlab platform
Liane E. Philpotts - One of the best experts on this subject based on the ideXlab platform.
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advances in digital breast tomosynthesis
American Journal of Roentgenology, 2017Co-Authors: Regina J Hooley, Melissa A. Durand, Liane E. PhilpottsAbstract:OBJECTIVE. Digital breast tomosynthesis (DBT) has rapidly emerged as an important new imaging tool that reduces the Masking Effect of overlapping fibroglandular tissue, thereby improving breast cancer detection. This article will review key features of DBT including technique, clinical implementation, and benign and malignant imaging findings. We will also present the benefits of DBT in screening, diagnostic workup, and image-guided biopsy. CONCLUSION. Tomosynthesis improves interpretive performance and will likely replace conventional 2D mammography in clinical practice.
Sam Kwong - One of the best experts on this subject based on the ideXlab platform.
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objective video quality assessment based on perceptually weighted mean squared error
IEEE Transactions on Circuits and Systems for Video Technology, 2017Co-Authors: Lina Jin, Sam Kwong, Hanli Wang, Yun Zhang, C Jay C KuoAbstract:Object quality assessment for compressed video is critical to various video compression systems that are essential in the video delivery and storage. Although mean squared error (MSE) is computationally simple, it may not be accurate to reflect the perceptual quality of compressed videos, which are also affected dramatically by the characteristics of the human visual system (HVS), such as contrast sensitivity, visual attention, and Masking Effect. In this paper, a video quality metric is proposed based on perceptually weighted MSE. A low-pass filter is designed to model the contrast sensitivity of the HVS with the consideration of visual attention. The imperceptible distortion is adaptively removed in the salient and nonsalient regions. To quantitatively measure the Masking Effect, the randomness of video content is proposed in both the spatial and temporal domains. Since the Masking Effect highly depends on the regularity of structure and motion in the spatial and temporal directions, the video signal is modeled as a linear dynamic system, and the prediction error of future frames from previous frames is used as randomness to measure the significance of Masking. The relation is investigated between MSE and perceptual quality scores across various contents, and a Masking modulation model is proposed to compensate the impact of the Masking Effect on the MSE. The performance of the proposed quality metric is validated on three video databases with various compression distortions. The experimental results demonstrate that the proposed algorithm outperforms other benchmark quality metrics.
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compressed image quality metric based on perceptually weighted distortion
IEEE Transactions on Image Processing, 2015Co-Authors: Sudeng Hu, Hanli Wang, Yun Zhang, Sam KwongAbstract:Objective quality assessment for compressed images is critical to various image compression systems that are essential in image delivery and storage. Although the mean squared error (MSE) is computationally simple, it may not be accurate to reflect the perceptual quality of compressed images, which is also affected dramatically by the characteristics of human visual system (HVS), such as Masking Effect. In this paper, an image quality metric (IQM) is proposed based on perceptually weighted distortion in terms of the MSE. To capture the characteristics of HVS, a randomness map is proposed to measure the Masking Effect and a preprocessing scheme is proposed to simulate the processing that occurs in the initial part of HVS. Since the Masking Effect highly depends on the structural randomness, the prediction error from neighborhood with a statistical model is used to measure the significance of Masking. Meanwhile, the imperceptible signal with high frequency could be removed by preprocessing with low-pass filters. The relation is investigated between the distortions before and after Masking Effect, and a Masking modulation model is proposed to simulate the Masking Effect after preprocessing. The performance of the proposed IQM is validated on six image databases with various compression distortions. The experimental results show that the proposed algorithm outperforms other benchmark IQMs.
Menghan Hu - One of the best experts on this subject based on the ideXlab platform.
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perceptual information hiding based on multi channel visual Masking
Neurocomputing, 2017Co-Authors: Duo Li, Guangtao Zhai, Xiaokang Yang, Menghan HuAbstract:Abstract Information security, the practice to protect information from unauthorized use, attracts researchers attention. In this paper, we proposed a visual Masking Effect based perceptual information protection scheme for display devices, such as mobile device, personal computer and ATM machine. The private information is embedded into the misleading image with the proposed algorithm, resulting in a dramatic descent in perceptual saliency of the private information for peepers viewing with naked eyes, while maintaining accessibility for authorized viewers wearing color filter. Quantitative and qualitative experiments are conducted, and results show Effectiveness of our algorithm.
Jianxian Zheng - One of the best experts on this subject based on the ideXlab platform.
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inclusion complex of neohesperidin dihydrochalcone and glucosyl β cyclodextrin synthesis characterization and bitter Masking properties in aqueous solutions
Journal of Molecular Liquids, 2017Co-Authors: Qingliang Dong, Erdong Yuan, Yanpeng Wang, Min Huang, Jianxian ZhengAbstract:Abstract The objective of this study was to synthesize a new water-soluble bitterness inhibitor—neohesperidin dihydrochalcone (NHDC)/glucosyl- β -cyclodextrin (G- β -CD) inclusion complex via ultrasonic-assisted technique in the ethanol aqueous solution, and also assess its bitterness-Masking Effect on corn peptides (CPs) using descriptive sensory analysis. Under the optimal synthetic condition, the NHDC payload was 278 mg/g and inclusion rate was 74.6%. The scanning electron microscopy (SEM) observation demonstrated that NHDC was inserted into the cavity of G- β -CD. The disposition of NHDC/G- β -CD inclusion complexes were affirmed by differential scanning calorimetry (DSC) and X-ray diffraction (XRD). Furthermore, the molecular structures of the complexes were explored by Fourier transform infrared (FT-IR) and proton nuclear magnetic resonance ( 1 H NMR). Results clearly indicated that the formation of a multicomponent complex was held together by hydrophobic interaction or hydrogen bond. The CP-debittering assessment showed that the prepared NHDC/G- β -CD inclusion complex possessed a more superior bitterness-Masking Effect on CP compared to single NHDC or G- β -CD, and other bitterness inhibitors, such as phosphatidic acid, protein-phosphatidic acid complexes, tannin, and neodiosmin. Therefore, this inclusion complex has a potential use for debittering of CP-based food and drugs.
C Jay C Kuo - One of the best experts on this subject based on the ideXlab platform.
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objective video quality assessment based on perceptually weighted mean squared error
IEEE Transactions on Circuits and Systems for Video Technology, 2017Co-Authors: Lina Jin, Sam Kwong, Hanli Wang, Yun Zhang, C Jay C KuoAbstract:Object quality assessment for compressed video is critical to various video compression systems that are essential in the video delivery and storage. Although mean squared error (MSE) is computationally simple, it may not be accurate to reflect the perceptual quality of compressed videos, which are also affected dramatically by the characteristics of the human visual system (HVS), such as contrast sensitivity, visual attention, and Masking Effect. In this paper, a video quality metric is proposed based on perceptually weighted MSE. A low-pass filter is designed to model the contrast sensitivity of the HVS with the consideration of visual attention. The imperceptible distortion is adaptively removed in the salient and nonsalient regions. To quantitatively measure the Masking Effect, the randomness of video content is proposed in both the spatial and temporal domains. Since the Masking Effect highly depends on the regularity of structure and motion in the spatial and temporal directions, the video signal is modeled as a linear dynamic system, and the prediction error of future frames from previous frames is used as randomness to measure the significance of Masking. The relation is investigated between MSE and perceptual quality scores across various contents, and a Masking modulation model is proposed to compensate the impact of the Masking Effect on the MSE. The performance of the proposed quality metric is validated on three video databases with various compression distortions. The experimental results demonstrate that the proposed algorithm outperforms other benchmark quality metrics.