The performance assessment of image interpolation algorithms can be categorized into objective and subjective assessments. This chapter introduces the different image features and the image artifacts commonly observed in interpolated images. It discusses the classification of quality assessment algorithms according to the sources of reference images. The source of the reference image adopted in different quality assessment algorithms categorizes the algorithms into three groups, including full‐reference image quality index (FRIQ), no‐reference image quality index (NRIQ), and reduced‐reference image quality index (RRIQ). Smoothing or blurring is observed when the high frequency components are lost, which can happen in the texture‐rich regions or along/across edges. The edge halo can be considered as a visual artifact that is opposite to smoothing. Among various FRIQ metrics, the mean squares error (MSE) and the peak signal‐to‐noise ratio (PSNR) are two commonly used metrics.


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    Title :

    Image Quality


    Contributors:


    Publication date :

    2019-02-19


    Size :

    19 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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