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离散色调图像特性数据集

离散色调图像特性数据集

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Computer Classification

Data Set Information:This dataset contains a total of 71 images including 11 types of images with its distorted versions......

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    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    This dataset contains a total of 71 images including 11 types of images with its distorted versions. Each and every image has its own uniqueness of discrete tone image properties.


    Attribute Information:

    Types of Images
    1.System Generated DTI by setting distinct pixel values
    2.Discrete Pixel Logo
    3.Business Charts
    4.Bi-Level
    5.Part of Discrete Information from an Continuous Image

    Colorspace models
    1.RGB
    2.Grayscale
    3.Binary

    Distortion Types
    1.JPEG
    2.Gaussian White Noise (GWN)
    3.Salt and Pepper noise (SP)
    4.Multiplicative Speckle Noise (MSN)
    5.Poisson Noise (PN)


    Relevant Papers:

    The parameters which we used to create this dataset is referred in the paper 'Compression Techniques are Lovable or Hateful: For Discrete Tone Images'. International conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE.


    Citation Request:

    It has been decided to make the dataset available to the research community free of charge. If you use these images in your research, kindly cite this dataset link.


    Creator:

    J.Uthayakumar
    Research Scholar,Department of Computer Science,Pondicherry University,India.
    Contact: +91 9677583754
    Email Id: uthayresearchscholar '@' gmail.com

    Guided By,

    Dr.T.Vengattaraman
    Assistant Professor,Department of Computer Science,Pondicherry University,India.
    Email Id: vengattaramant '@' gmail.com

    Dr.P.Dhavachelvan
    Professor,Department of Computer Science,Pondicherry University,India.
    Email Id: dhavachelvan '@' gmail.com

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