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The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
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Fine-Grained Quality Assessment for Compressed Images.

Xinfeng Zhang, Weisi Lin, Shiqi Wang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
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    This study introduces a new large-scale image database for fine-grained image quality assessment (IQA). This resource enables more accurate evaluation of IQA algorithms for perceptual image compression, moving beyond coarse-grained analysis.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Human-Computer Interaction

    Background:

    • Image quality assessment (IQA) is crucial for image services, particularly perceptual image compression.
    • Existing IQA databases often lack the fine-grained detail needed to optimize compression algorithms effectively.
    • Current IQA algorithms may not align well with human perception for subtle quality differences.

    Purpose of the Study:

    • To construct a large-scale, fine-grained image database for evaluating image quality assessment algorithms.
    • To improve the correlation between IQA metrics and human visual perception in image compression.
    • To facilitate the shift from coarse-grained to fine-grained IQA.

    Main Methods:

    • Generation of a large-scale image database using JPEG compression with varied optimization methods and bitrates.
    • Utilizing pair-wise comparison in subjective experiments to rank image quality.
    • Evaluation and analysis of sixteen established IQA algorithms on the new database.

    Main Results:

    • A novel database with 1200 distorted images derived from 100 reference images was created.
    • The database allows for the assessment of subtle quality differences in compressed images.
    • Analysis revealed performance variations among different IQA algorithms on fine-grained quality levels.

    Conclusions:

    • The proposed fine-grained IQA database is a valuable resource for advancing image quality assessment research.
    • This database will help develop more perceptually accurate IQA metrics for image compression.
    • The findings support the transition towards more sophisticated, fine-grained IQA methodologies.