A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality Assessment

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Authors Ghassan AlRegib, Dogancan Temel
Journal/Conference Name 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Paper Category
Paper Abstract The process of quantifying image quality consists of engineering the quality features and pooling these features to obtain a value or a map. There has been a significant research interest in designing the quality features but pooling is usually overlooked compared to feature design. In this work, we compare the state of the art quality and content-based spatial pooling strategies and show that although features are the key in any image quality assessment, pooling also matters. We also propose a quality-based spatial pooling strategy that is based on linearly weighted percentile pooling (WPP). Pooling strategies are analyzed for squared error, SSIM and PerSIM in LIVE, multiply distorted LIVE and TID2013 image databases.
Date of publication 2018
Code Programming Language MATLAB

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