Perspectives on the definition of visually lossless quality for mobile and large format displays
Perspectives on the definition of visually lossless quality for mobile and large format displays
复制标题
关于移动和大尺寸显示器视觉无损质量定义的观点
DOI：
10.1117/1.jei.27.5.053035
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发表时间：
2018
影响因子：
1.1
通讯作者：
Y. Zhang
中科院分区：
文献类型：
--
作者：
R. Allison;K. Brunnstrom;D. M. Chandler;H. Colett;P. Corriveau;S. Daly;J. Goel;J. Long;L. Wilcox;Y. Yaacob;S. Yang;Y. Zhang
成像和显示工程的进步已经产生了新的和改进的图像和视频应用，其目的是在给定的资源约束（例如，功率、带宽）。由于人类视觉系统是一个不完美的传感器，图像/视频可以以数学上有损耗的方式表示，但具有足够的保真度，使损失在视觉上无法察觉-通常称为“视觉无损”。虽然大量的研究集中在更好地理解人类视觉在观看自然图像/视频时的局限性，但普遍甚至广泛接受的视觉无损定义仍然难以捉摸。测试方法、研究目标和目标应用程序的差异导致了多个临时定义，这些定义通常很难与其他环境进行比较或以其他方式使用。我们提出了与视觉科学和视觉质量测试相关的技术实验的概要，这些实验共同探讨了视觉无损图像质量的研究和商业前景，并回顾了最近的科学进展。总之，本文中提出的研究表明，视觉无损质量的单一定义可能是不合适的;相反，一个更好的目标是建立不同水平的视觉无损质量，可以量化的测试范式。
Advances in imaging and display engineering have given rise to new and improved image and video applications that aim to maximize visual quality under given resource constraints (e.g., power, bandwidth). Because the human visual system is an imperfect sensor, the images/videos can be represented in a mathematically lossy fashion but with enough fidelity that the losses are visually imperceptible—commonly termed “visually lossless.” Although a great deal of research has focused on gaining a better understanding of the limits of human vision when viewing natural images/video, a universally or even largely accepted definition of visually lossless remains elusive. Differences in testing methodologies, research objectives, and target applications have led to multiple ad-hoc definitions that are often difficult to compare to or otherwise employ in other settings. We present a compendium of technical experiments relating to both vision science and visual quality testing that together explore the research and business perspectives of visually lossless image quality, as well as review recent scientific advances. Together, the studies presented in this paper suggest that a single definition of visually lossless quality might not be appropriate; rather, a better goal would be to establish varying levels of visually lossless quality that can be quantified in terms of the testing paradigm.