Growth in digital image processing technologies have completely change our way of life. In our day-to-day life, we are using a number of image processing applications knowingly or unknowingly. Many times image gets distorted somehow during the acquisition, processing, transmission, storing or sharing. So the evaluation of image quality is essential component for many image processing applications. Such image quality assessment techniques are the state-of-the-artresearch area. This paper provides a detailed survey on various image quality assessment methods. This review isprimarily focussed on three objective quality assessment methods viz. (full reference image quality assessment (FR-IQA), reduced reference image quality assessment (RR-IQA), and No reference image quality assessment (NR-IQA). An extensive review on various publically available research databases has been presented.

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Image Quality Assessment Fr-iqa Rr-iqa Nr-iqa Databases Etc.