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sewar0.4.6

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All image quality metrics you need in one package.

pip install sewar

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    Sewar

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    Sewar is a python package for image quality assessment using different metrics. You can check documentation here.

    Implemented metrics

    • Mean Squared Error (MSE)
    • Root Mean Squared Error (RMSE)
    • Peak Signal-to-Noise Ratio (PSNR) [1]
    • Structural Similarity Index (SSIM) [1]
    • Universal Quality Image Index (UQI) [2]
    • Multi-scale Structural Similarity Index (MS-SSIM) [3]
    • Erreur Relative Globale Adimensionnelle de Synthèse (ERGAS) [4]
    • Spatial Correlation Coefficient (SCC) [5]
    • Relative Average Spectral Error (RASE) [6]
    • Spectral Angle Mapper (SAM) [7]
    • Spectral Distortion Index (D_lambda) [8]
    • Spatial Distortion Index (D_S) [8]
    • Quality with No Reference (QNR) [8]
    • Visual Information Fidelity (VIF) [9]
    • Block Sensitive - Peak Signal-to-Noise Ratio (PSNR-B) [10]

    Todo

    • Add command-line support for No-reference metrics

    Installation

    Just as simple as

    pip install sewar
    

    Example usage

    a simple example to use UQI

    >>> from sewar.full_ref import uqi
    >>> uqi(img1,img2)
    0.9586952304831419
    

    Example usage for command line interface

    sewar [metric] [GT path] [P path] (any extra parameters)
    

    An example to use SSIM

    foo@bar:~$ sewar ssim images/ground_truth.tif images/deformed.tif -ws 13
    ssim : 0.8947009811410856
    

    Available metrics list

    mse, rmse, psnr, rmse_sw, uqi, ssim, ergas, scc, rase, sam, msssim, vifp, psnrb 
    

    Contributors

    Special thanks to @sachinpuranik99 and @sunwj.

    References

    [1] "Image quality assessment: from error visibility to structural similarity." 2004)
    [2] "A universal image quality index." (2002)
    [3] "Multiscale structural similarity for image quality assessment." (2003)
    [4] "Quality of high resolution synthesised images: Is there a simple criterion?." (2000)
    [5] "A wavelet transform method to merge Landsat TM and SPOT panchromatic data." (1998)
    [6] "Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition." (2004)
    [7] "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm." (1992)
    [8] "Multispectral and panchromatic data fusion assessment without reference." (2008)
    [9] "Image information and visual quality." (2006)
    [10] "Quality Assessment of Deblocked Images" (2011)