Qualification of Quality Measures
Print quality is a composite attribute defined by human perception. As such, the ultimate way to determine and quantify print quality is by human survey. However, repeated surveys are time consuming and often represent a burden on processes that involve repeated evaluations. A desired alternative would be an automatic quality measure, e.g. granularity and resolution measures. Once a quality measure is proposed, it should be shown to reflect human judgment. The agreement between human judgment and quality measure reflects the quality of the quality measure. Conflicts between human opinions are common, which complicates the evaluation of tool’s success in reflecting human judgment: If two of the human opinions conflict, the tool cannot possibly agree with both. There are many ways to evaluate the agreement between the quality measure and human judgment, but different methods may have conflicting results. It is therefore important to pre-establish the appropriate method for the evaluation of quality measures, a method that takes the confusion in the human committee into account. In this work, we model human quality preference and derive the most appropriate method to qualify perceptual print an image quality measures.
Hila Nachlieli Doron Shaked
Hewlett-Packard Laboratories Haifa, Israel
国际会议
The 31st International Congress on Imaging Science(第31届国际影像科学大会 ICIS2010)
北京
英文
317-320
2010-05-12（万方平台首次上网日期，不代表论文的发表时间）