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HomeInternational Journal of Engineering Research in...International Journal of Engineering Research in...Overview of Image Quality Metrics with Perspective...

Overview of Image Quality Metrics with Perspective to Satellite Image Compression

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Abstract:

Image Quality appraisal has been an exacting task in the field of image processing without any satisfactory answer so far. Image quality evaluation tries to quantify a visual quality, an amount of distortion in a given picture. These changes are an inescapable component of any digital picture processing. The correct method of valuing the human-perceived visual quality of the images is the assessment by the human beings. Unfortunately, this process is luxurious, time consuming and cannot be applied in real-time applications. Therefore, there is a demand for a computerized technique that would conceive of the human-perceived visual quality as close as possible. This survey presents an overview about different quality metrics used in-order to assess the image degradation. The few metrics studied are MSE, SNR, PSNR, SSIM, AD, MD, MAE, NK, VSNR, RMSE, UIQM, MSSSIM, FSSIM etc. The image quality metrics are verified with perspective to satellite pictures.

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International Journal of Engineering Research in Africa Vol. 24

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International Journal of Engineering Research in Africa (Volume 24)

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112-123

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https://doi.org/10.4028/www.scientific.net/JERA.24.112

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Online since:

June 2016

Authors:

S. Sanjith*, R. Ganesan

Keywords:

Human Visual System (HVS), Image Quality Metrics (IQM)

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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