Image Quality Assessment

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Image quality is a measure of perceived naturalness and usefulness [17]. Since image quality plays a crucial role in image processing based applications, it is necessary to quantify the amount of visual distortion in images introduced during various processes like acquisition, compression and transmission.
Image quality assessment (IQA) attempts to quantify visual quality in terms of metrics, which are used for benchmarking and comparing performances of compression techniques. Basically, Image Quality assessment is done by Objective and Subjective approaches. An Objective Image quality assessment is further categorized into 1) Full Reference (FR) 2) No Reference (NR) and 3) Reduced Reference (RR). In the benchmarking of the image compression and restoration algorithms, an original image becomes an ultimate reference for evaluation of the processed image. Quality assessment done by comparing the processed image with original image of high quality called as full reference (FR) image quality assessment. No reference (NR) image quality assessment is carried out when the reference ima...

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