• Minal K. Raijada
• Mr. Divyang Patel
• Mrs. Priyanka Prajapati

Image quality assessment plays very important role in different image processing applications such as image enhancement, image compression, image restoration, image acquisition and other fields. Image quality assessment is necessary because images may contain different types of noise like blur, noise, contrast change, etc. Image quality assessment researchers face many problems when designing a model of Human Visual System which can deal with natural images. In this paper we have reviewed some papers based on IQA metrics. We have tried to find some advantages of them by studying it.

SSIM; Image quality assessment (IQA); ESSIM; FSIM; MSSIM; Human Visual system. _____________________________________________image quality assessment (IQA); ESSIM; FSIM; MSSIM; Human Visual system.

"A Review Paper on Image Quality Assessment Metrics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 1, page no.130-132, January-2015, Available :http://www.jetir.org/papers/JETIR1501021.pdf

"A Review Paper on Image Quality Assessment Metrics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 1, page no. pp130-132, January-2015, Available at : http://www.jetir.org/papers/JETIR1501021.pdf