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Related Concept Videos

Quality Control01:05

Quality Control

2.0K
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Quality Assurance01:19

Quality Assurance

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Quality of Water01:19

Quality of Water

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Pulse amplitude and quality01:17

Pulse amplitude and quality

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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...
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Testing Water Quality01:14

Testing Water Quality

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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
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Visual Quality Assessment for Super-Resolved Images: Database and Method.

Fei Zhou, Rongguo Yao, Bozhi Liu

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    This study introduces a new method and database for evaluating image super-resolution (SR) quality. The developed image quality assessment (IQA) method effectively measures structural and textural degradations in super-resolved images (SRIs).

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Perceptual Quality Assessment

    Background:

    • Image super-resolution (SR) research is advancing rapidly with deep learning.
    • Existing image quality assessment (IQA) methods are insufficient for evaluating super-resolved images (SRIs).
    • A lack of standardized criteria hinders the development and reliable assessment of SR technologies.

    Purpose of the Study:

    • To develop a novel image quality assessment (IQA) method specifically for super-resolved images (SRIs).
    • To create the first publicly available database for assessing SRI quality.
    • To analyze the perceptual properties of artifacts in SRIs and their impact on image structure and texture.

    Main Methods:

    • Construction of the Quality Assessment Database for SRIs (QADS) with 980 SRIs from 21 SR methods and 20 reference images.
    • Collection of Mean Opinion Scores (MOS) through a psychovisual experiment with 100 participants.
    • Development of a novel IQA method that separately measures structural and textural degenerations in SRIs, followed by a new pooling mechanism for the final score.

    Main Results:

    • The QADS database demonstrates high suitability and reliability for MOS collection.
    • Psychovisual experiments revealed that SRI artifacts uniquely degrade both image structure and texture.
    • The proposed IQA method significantly outperforms existing methods in assessing SRI visual quality on the QADS dataset.

    Conclusions:

    • The developed QADS database and novel IQA method provide crucial tools for advancing SR technology.
    • Understanding the distinct perceptual properties of structural and textural degenerations is key to accurate SRI quality assessment.
    • The proposed method offers a significant improvement for evaluating the visual quality of super-resolved images.