Depth-of-field effect in subjective and objective evaluation of image quality

Tingting Zhang, H. Nefs, Hantao Liu, L. Xia, Xiaofeng Liu, Xiaoli Wu
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引用次数: 1

Abstract

Depth of field, as an important image feature, is always ignored when assessing the quality of photographs. The current study compared the subjective image quality evaluation with three NR image quality algorithms: BIQI, BRISQUE, and NIQE on the performance of scoring photographs with different levels of depth of field. The results showed that a large depth of field led to higher image quality in BRISQUE and depth of field did not influence the performance of the other two objective metrics and human perception. We also concluded that objective metrics such as BRISQUE, NIQE, BIQI underestimated the image quality of photographs compared with human perception.
景深效应是评价图像质量的主客观因素
景深作为一项重要的图像特征,在评价照片质量时往往被忽略。本研究比较了主观图像质量评价与三种NR图像质量算法:BIQI、BRISQUE和NIQE对不同景深水平的照片进行评分的性能。结果表明,在BRISQUE中,大景深导致更高的图像质量,并且景深不影响其他两个客观指标和人类感知的性能。我们还得出结论,与人类感知相比,BRISQUE、NIQE、BIQI等客观指标低估了照片的图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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