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    ARTICLE

    Difference of Visual Information Metric Based on Entropy of Primitive

    Yanghong Zhang1, Feng Sun2, Liwei Tian1, Jinfeng Li3, Longqing Zhang3, Shengfu Lan3

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 817-831, 2020, DOI:10.32604/cmc.2020.06076

    Abstract Image sparse representation is a method of efficient compression and coding of image signal in the process of digital image processing. Image after sparse representation, to enhance the transmission efficiency of the image signal. Entropy of Primitive (EoP) is a statistical representation of the sparse representation of the image, which indicates the probability of each base element. Based on the EoP, this paper presents an image quality evaluation method-Difference of Visual Information Metric (DVIM). The principle of this method is to evaluate the image quality with the difference between the original image and the distorted More >

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