Naturalness index for a tone-mapped high dynamic range image
Yang Song; Gangyi Jiang; Mei Yu; Yun Zhang; Feng Shao; Zongju Peng
刊名Applied Optics
2016
英文摘要High dynamic range (HDR) images can only be backward-compatible with existing low dynamic range (LDR) imaging systems after being processed by tone-mapping operators. Hence, the quality assessment (QA) of tonemapped HDR images has become an important and challenging issue in HDR imaging research. In this paper, we propose a naturalness index for a tone-mapped image to predict its quality. First, we extract the statistical features of the tone-mapped image’s luminance value and use it to evaluate the brightness naturalness with no reference information. Meanwhile, we use perceptive color, image contrast, and detail information to represent the image content and predict their naturalness qualities, respectively. Then, the four components of the naturalness qualities are combined to yield the overall naturalness quality of the tone-mapped image. Experimental results on a publicly available database demonstrated that, in comparison with a traditional LDR image QA method and a leading tone-mapped image QA method, the proposed method has better performance in evaluating a tonemapped image’s quality.
收录类别SCI
原文出处https://doi.org/10.1364/AO.55.010084
语种英语
WOS记录号WOS:000389652600027
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/10221]  
专题深圳先进技术研究院_数字所
作者单位Applied Optics
推荐引用方式
GB/T 7714
Yang Song,Gangyi Jiang,Mei Yu,et al. Naturalness index for a tone-mapped high dynamic range image[J]. Applied Optics,2016.
APA Yang Song,Gangyi Jiang,Mei Yu,Yun Zhang,Feng Shao,&Zongju Peng.(2016).Naturalness index for a tone-mapped high dynamic range image.Applied Optics.
MLA Yang Song,et al."Naturalness index for a tone-mapped high dynamic range image".Applied Optics (2016).
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