ABSTRACT
With the rapid growth in Internet technologies and the enormous use of multimedia content for different applications, from education to entertainment, paramount importance is given to the use of images and videos. In order to save space and transfer in less time, these images and videos are compressed. Due to compression, artifacts are generated, which degrades the quality of the images. Research is still going on to increase the compression ratio by degrading quality to a small extent. The extent to which quality is degraded should be analyzed for further performance improvement of the compression algorithm. The full-reference quality metrics such as peak signal-to-noise ratio, mean square error, structural similarity, and image fidelity are explained. If the reference image is not available, the technique used to determine quality is discussed. The image quality assessment technique based on information from the reference image (reduced reference) is also discussed.
