• S.Sathya moorthy
• Dr.M.Dharmalingam

Today digital images and video has everywhere. Number of images and videos are captured displayed and transmitted are intended to be viewed by humans. A variety of models for Image Quality Assessment have been used and is generally classified as full reference and no reference image quality metrics depending on number of information from the reference image is available to the Image Quality algorithm.Quantitative evaluation of an image perceptual quality is important fundamental challenging problem in image processing. Image Quality assessment methods in two types.1) For humans Subjective Assessment, 2) Algorithm for Objective Assessment .

Image Quality Metric, No Reference, Full Reference, Image Quality Assessment

"IMAGE QUALITY ASSESSMENT TO A DEEP LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.600-604, February-2019, Available :http://www.jetir.org/papers/JETIR1902678.pdf

"IMAGE QUALITY ASSESSMENT TO A DEEP LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp600-604, February-2019, Available at : http://www.jetir.org/papers/JETIR1902678.pdf