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In the field of Image Quality Assessment (IQA), this paper examines a Reduced Reference (RRIQA) measure based on the bi-dimensional empirical mode decomposition ...
The method uses a wide spectrum of local and global image features and their statistics to address a diversity of distortions. Among 80 employed features, 56 ...
ity involves asking people to quantify their subjective impressions by selecting one of the five classes: Excellent, Good, Fair, Poor, Bad,.
Bibliographic details on A New Image Distortion Measure Based on Natural Scene Statistics Modeling.
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This paper describes a visual model that gives a perceptual distortion measure between an input image and that of reference based on a human-image ...
It is demonstrated that each distortion affects the statistics of natural images in a characteristic way and it is possible to parameterize this ...
Nov 1, 2011 · Such “holistic” NR QA algorithms could operate by measuring a “distance” from naturalness, thereby gauging how severely distorted a visual ...
The proposed measure belongs to Natural Scene Statistics (NSS) modeling approaches. First, the reference image is decomposed into Intrinsic Mode Functions (IMF); ...
Aug 13, 2020 · IQA aims to use computational models to measure the image subjective quality as much as possible. Generally objective quality assessment can ...