No-Reference Learning-Based and Human Visual-Based Image Quality Assessment Metric

Charrier, Christophe; Saadane, Abdelhakim; Fernández-Maloigne, Christine

doi:10.1007/978-3-319-68548-9_23

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Hitherto, various HVS properties have been used in quality metrics, including structural information [28,29] and error and brightness sensitivities [30,31]. The acclaimed structural similarity index (SSIM) [32] is based on the assumption that HVS is more sensitive to the structural information of the visual content and, therefore, a structural similarity measure can provide a good estimate of the perceived image quality.…”

Section: Introductionmentioning

confidence: 99%

Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines

Freitas

Akamine

2018

J Braz Comput Soc

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In most practical multimedia applications, processes are used to manipulate the image content. These processes include compression, transmission, or restoration techniques, which often create distortions that may be visible to human subjects. The design of algorithms that can estimate the visual similarity between a distorted image and its non-distorted version, as perceived by a human viewer, can lead to significant improvements in these processes. Therefore, over the last decades, researchers have been developing quality metrics (i.e., algorithms) that estimate the quality of images in multimedia applications. These metrics can make use of either the full pristine content (full-reference metrics) or only of the distorted image (referenceless metric). This paper introduces a novel referenceless image quality assessment (RIQA) metric, which provides significant improvements when compared to other state-of-the-art methods. The proposed method combines statistics of the opposite color local variance pattern (OC-LVP) descriptor with statistics of the opposite color local salient pattern (OC-LSP) descriptor. Both OC-LVP and OC-LSP descriptors, which are proposed in this paper, are extensions of the opposite color local binary pattern (OC-LBP) operator. Statistics of these operators generate features that are mapped into subjective quality scores using a machine-learning approach. Specifically, to fit a predictive model, features are used as input to a gradient boosting machine (GBM). Results show that the proposed method is robust and accurate, outperforming other state-of-the-art RIQA methods.

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Section: Introductionmentioning

confidence: 99%

Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines

Freitas

Akamine

2018

J Braz Comput Soc

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Preoperative Low Serum Magnesium Level is a Significant Predictive Factor for Postoperative Hypomagnesemia in Patients Who Underwent Parathyroidectomy for Primary Hyperparathyroidism

Meriç¹,

Hacım²

2022

NKTD

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Aim: Parathyroidectomy causes significant changes in mineral metabolism in patients with primary hyperparathyroidism (PHPT). Hypomagnesemia may be seen after parathyroidectomy with unknown mechanisms. Our study aimed to evaluate the severity of hypomagnesemia and its correlation with clinical and biochemical variables after the surgery. Materials and Methods:A retrospective study was conducted in the patients with parathyroidectomy for PHPT between January 2017 and December 2020 in a single tertiary hospital. All consecutive patients with preoperative and postoperative magnesium levels (n=80) were included. Patients were divided into two groups according to the postoperative first-day serum magnesium levels: patients whose serum magnesium was <1.9 mg/dL (group HypoMg) and patients whose serum magnesium was ≥1.9 mg/dL (group NorMg). Demographic and clinical parameters and biochemical findings were recorded. The incidence of postoperative hypomagnesemia was the primary outcome. Results:The mean age was 56.7±12.2 years. The female to male ratio was 3.21. There were 31 (38.8%) and 49 patients (61.2%) in group HypoMg and group NorMg, respectively. The groups were similar considering demographic and clinical parameters (p>0.05). There were no significant differences in the preoperative serum calcium, adjusted calcium, and parathyroid hormone levels between the groups (p>0.05). Preoperative magnesium levels were significantly lower in the HypoMg group (p<0.001). Postoperative serum magnesium levels were positively correlated with preoperative serum magnesium levels (r=0.719, p<0.001). Conclusion:Postoperative hypomagnesemia may be seen after parathyroidectomy. It was significantly correlated with preoperative hypomagnesemia.

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No-Reference Learning-Based and Human Visual-Based Image Quality Assessment Metric

Cited by 2 publications

References 30 publications

Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines

Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines

Preoperative Low Serum Magnesium Level is a Significant Predictive Factor for Postoperative Hypomagnesemia in Patients Who Underwent Parathyroidectomy for Primary Hyperparathyroidism

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