{"title":"Appearance reproduction of high-dynamic-range video based on human visual models","authors":"Keita Hirai, Toshiya Nakaguchi, Norimichi Tsumura, Yoichi Miyake","doi":"10.1002/ecjb.20403","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we propose a method for improving image quality in order to match precisely the appearances of recorded video sequences with those of real scenes. Captured video and still images by cameras often have saturated and underexposed areas due to their limited dynamic range. Therefore, it is required to acquire images with a wide dynamic range and much tone data for the accurate reproduction of appearances. In addition, it is important to apply color reproduction processing based on human visual models to recorded videos because the appearances between the videos and real scenes differ due to the characteristics of human vision. In our method, a photometric high-dynamic-range (PHDR) video is generated by using a recorded video sequence and metadata of a camera such as the sensitivity (speed), aperture, and shutter speed. The PHDR video consists of the values of high-dynamic-range tone and absolute luminance. After the generation of a PHDR video, the video is processed by using color reproduction techniques based on spatiotemporal visual adaptation models for the accurate reproduction of appearances. Our results show that the proposed method reproduces fine appearance of videos which is the close appearance of real scenes. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 90(11): 55–64, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20403</p>","PeriodicalId":100406,"journal":{"name":"Electronics and Communications in Japan (Part II: Electronics)","volume":"90 11","pages":"55-64"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ecjb.20403","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics and Communications in Japan (Part II: Electronics)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ecjb.20403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we propose a method for improving image quality in order to match precisely the appearances of recorded video sequences with those of real scenes. Captured video and still images by cameras often have saturated and underexposed areas due to their limited dynamic range. Therefore, it is required to acquire images with a wide dynamic range and much tone data for the accurate reproduction of appearances. In addition, it is important to apply color reproduction processing based on human visual models to recorded videos because the appearances between the videos and real scenes differ due to the characteristics of human vision. In our method, a photometric high-dynamic-range (PHDR) video is generated by using a recorded video sequence and metadata of a camera such as the sensitivity (speed), aperture, and shutter speed. The PHDR video consists of the values of high-dynamic-range tone and absolute luminance. After the generation of a PHDR video, the video is processed by using color reproduction techniques based on spatiotemporal visual adaptation models for the accurate reproduction of appearances. Our results show that the proposed method reproduces fine appearance of videos which is the close appearance of real scenes. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 90(11): 55–64, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20403
基于人眼视觉模型的高动态范围视频外观再现
在本文中,我们提出了一种提高图像质量的方法,以便将录制的视频序列的外观与真实场景的外观精确匹配。由于相机的动态范围有限,拍摄的视频和静止图像通常有饱和和曝光不足的区域。因此,为了准确再现外观,需要获取动态范围宽、色调数据多的图像。此外,由于人类视觉的特点,视频与真实场景之间的外观存在差异,因此将基于人类视觉模型的色彩再现处理应用于录制视频非常重要。在我们的方法中,通过使用录制的视频序列和相机的元数据(如灵敏度(速度)、光圈和快门速度)生成光度高动态范围(PHDR)视频。PHDR视频由高动态范围色调值和绝对亮度值组成。在生成PHDR视频后,利用基于时空视觉适应模型的色彩再现技术对视频进行处理,实现对外观的精确再现。实验结果表明,该方法能较好地再现与真实场景接近的视频外观。©2007 Wiley期刊公司电子工程学报,2009,29 (1):1 - 4,2007;在线发表于Wiley InterScience (www.interscience.wiley.com)。DOI 10.1002 / ecjb.20403
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