Evaluations of Image Degradation from Multiple Scan-Print

Evaluations of Image Degradation from Multiple Scan-Print

Abhimanyu Singh Garhwal (Auckland University of Technology, Auckland, New Zealand) and Wei Qi Yan (Auckland University of Technology, Auckland, New Zealand)
Copyright: © 2015 |Pages: 11
DOI: 10.4018/IJDCF.2015100104
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Image degradation is a fundamental problem in digital image processing since it has been occurred in scan-print very often. The multiple rounds of scan-print usually lead to difficulties of perceiving visual information of an image. Therefore it is referred to as image degradation. In order to investigate the effects of the degradation, subjective and objective image metrics have been collected and are employed for measuring image quality. In this paper, those objective metrics will be harnessed for qualitatively analyzing the degraded images from multiple scan-print. The authors' contributions lie in evaluating the degradation by comparing each test image and its degraded ones with various objective metrics. Furthermore, the comparisons of the robustness and consistent of the metrics in support of their evaluations are analyzed.
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2. Image Metrics

Usually image quality is measured by computable metrics. These metrics are classified into two-fold: objective and subjective. Objective metrics (Falk, 2007; Gallager, 2001; Wang, 2011) take advantages of quantified parameters to measure the quality of perceived images while subjective metrics(Falk, 2007; Wang, 2011) are often employed to evaluate visual effects of how a viewer perceives a specific image. Figure 1 shows the classifications of the metrics which are grouped into objective and subjective categories. The objective metrics are further taken part into statistics based and human visual system oriented.

Figure 1.

Image quality metrics


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