An Improved SPSIM Index for Image Quality Assessment
نویسندگان
چکیده
Objective image quality assessment (IQA) measures are playing an increasingly important role in the evaluation of digital quality. New IQA indices expected to be strongly correlated with subjective observer evaluations expressed by Mean Opinion Score (MOS) or Difference (DMOS). One such recently proposed index is SuperPixel-based SIMilarity (SPSIM) index, which uses superpixel patches instead a rectangular pixel grid. The authors this paper have three modifications SPSIM index. For purpose, color space used was changed and way determines similarity maps modified using methods derived from algorithm for computing Deviation Similarity Index (MDSI). third modification combination first two. These new were process. experimental results obtained many images five databases demonstrated advantages modifications.
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ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym13030518