YEN-CHING CHANG2026-10-162026-10-162013-01-01Pure ID: 14983768Pure UUID: 99a89f72-ac9b-4cef-b577-dd53044ed37310.4028/www.scientific.net/AMM.284-287.2975https://www.scopus.com/pages/publications/84873928297https://scholars.csmu.edu.tw/handle/123456789/22400It is difficult to objectively and quantitatively judge image quality by a single criterion, such as contrast. In general, excessive contrast enhancement easily leads to a loss of image quality. Thus, it easily gives a wrong evaluation to rank image quality according to contrast values. In order to achieve a consistent result with human vision perception, balancing multi-criteria will be a feasible approach. Therefore, we propose a multi-criteria image quality evaluation scheme for ranking seven existing contrast enhancement methods. The scheme applies four criteria to a newly proposed way of computing a grey relational grade (GRGd), called the consistent grey relational grade (CGRGd). Experimental results show that our proposed CGRGd do provides a very effective mechanism to choose the best method for a specific purpose.5enjournal article