Image Quality Assessment Techniques
نویسندگان
چکیده
Image Quality assessment plays an important role in various image processing applications. It is still an active field of research. A great deal of effort has been made in recent years to develop objective image quality metrics that correlate well with perceived human quality measurement or subjective methods. Most full reference(FR) technique were derived based on pixel to pixel error such as mean square error(MSE) or peak signal to noise ratio(PSNR),structural similarity index metric(SSIM) etc. This paper reviews different techniques used for image quality assessment.
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