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.
Multiple Scan Base Partitioning Technique to Increase the Throughput in VLSI Testing
