Blind Image Quality Assessment Based on the Use of Saliency Maps and a Multivariate Gaussian Distribution

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

doi:10.1007/978-3-030-30645-8_13

Cited by 2 publications

(1 citation statement)

References 29 publications

(32 reference statements)

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“…The use of VSMs has gained popularity in NR quality metric design, especially based on neural networks [55][56][57]. J. Ryu has tested the metric [55] for the KADID-10K dataset and got SROCC equal to 0.834, which is considerably larger compared to many known NR metrics and close to good FR metrics. C. Charrier et al have designed the SABIQ metric that has been tested for TID2013 and CSIQ databases.…”

Section: Quality Assessmentmentioning

confidence: 99%

Saliency map in image visual quality assessment and processing

Батаева¹,

Abramov

2023

reks

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Images are mainly viewed and analyzed by humans. Because of this, in the characterization of image quality and effectiveness of image processing, it is necessary to take into account the peculiarities of the human vision system and cognition that are very complex. Saliency maps as well as priority and meaning maps introduced recently are the attempts to incorporate specific features of human vision into image analysis and processing fields. Many authors that consider the aforementioned maps consider them from different viewpoints. Thus, the basic subject of this paper is the factors that influence and determine these maps. Among such factors, there are low-level features as well as social and psychological ones such as emotions, age, and life values. The main goal of this paper is to give a brief survey of these factors and to consider how maps are already used in image quality assessment and processing as well as how they can be employed in the future. The tasks of the paper are to provide a definition of saliency, priority, and meaning maps, to analyze the factors that influence these maps, and to evaluate what improvement can be obtained due to taking maps into account in the assessment of image visual quality and such image processing operations as quality assessment, denoising, and lossy compression. The main result is that, by taking saliency maps into account, image quality assessment and processing efficiency can be sufficiently improved, especially for applications oriented on image viewing and analysis by observers or customers. This can be done by the simple weighting of local estimates of a given metric with further aggregation as well as by approaches based on neural networks. Using different quantitative criteria, we show what positive results can be got due to incorporating maps into quality assessment and image processing. As conclusion, we present possible directions of future research that are mainly related to an adaptation of denoising and lossy compression parameters to peculiarities of human attention.

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Section: Quality Assessmentmentioning

confidence: 99%

Saliency map in image visual quality assessment and processing

Батаева¹,

Abramov

2023

reks

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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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Blind Image Quality Assessment Based on the Use of Saliency Maps and a Multivariate Gaussian Distribution

Cited by 2 publications

References 29 publications

Saliency map in image visual quality assessment and processing

Saliency map in image visual quality assessment and processing

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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