Peak signal-to-noise ratio (PSNR) is commonly used as an objective quality metric in signal processing. However, PSNR correlates poorly with the subjective quality rating. In this paper, we propose a new metric using contrast signal-to-noise ratio (CSNR), which measures the ratio of the contrast information level of distorted signal to the contrast level of the error signal. The performance of the proposed method has been verified using a database of images compressed with JPEG and JPEG 2000. The results show that it can achieve very good correlation with the subjective mean opinion scores in terms of prediction accuracy, monotonicity and consistency.


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    Title :

    Contrast signal-to-noise ratio for image quality assessment


    Contributors:
    Susu Yao, (author) / Weisi Lin, (author) / EePing Ong, (author) / Zhongkang Lu, (author)


    Publication date :

    2005-01-01


    Size :

    231959 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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