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Image Quality Assessment based on Fuzzy Logic
Baljinder,  Anuj Mehta
This paper presents algorithm for image quality assessment based on fuzzy logic. First, a simple model of human visual system, consisting of a nonlinear function and a 2-D filter, processes the input evaluates detail losses and additive impairments for image quality assessment. The detail loss refers to the loss of useful visual information which affects the content visibility, and the additive impairment represents the redundant visual information whose appearance in the test image will distract viewer’s attention from the useful contents causing unpleasant viewing experience.. Noise is usually quantified by the percentage of pixels which are corrupted. Corrupted pixels are either set to the maximum value or have single bits flipped over. So the main objective of this dissertation work is to get almost an actual image from the corrupted image and then finding the fine edges in the image using fuzzy logic.
Keywords- Image Quality Assessment, HVS Model, Image Noise, Fuzzy
Unique Identification Number - IJEDR1403053Page Number(s) - 3135-3139Pubished in - Volume 2 | Issue 3 | Sept 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Baljinder,  Anuj Mehta,   "Image Quality Assessment based on Fuzzy Logic "
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 3, pp.3135-3139, Sept 2014, Available at :http://www.ijedr.org/papers/IJEDR1403053.pdf