HCC: Small: Individualized Inverse-Blurring and Aberration Compensated Displays for Personalized Vision Correction with Applications for Mobile Devices

HCC：小型：个性化逆模糊和像差补偿显示器，用于移动设备应用程序的个性化视力矫正

• 批准号: 1219241
• 负责人: Brian Barsky
• 金额: $ 50万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1219241&HistoricalAwards=false
• 关键词: HCC; Small; Individualized; Inverse; Blurring

This research is concerned with the refractive elements of the eye and the errors or artifacts produced in the process of focusing light onto the retina. As the popularity of mobile hand-held devices continues to grow, a limiting factor that may emerge as an increasing impediment to their adoption among sizeable segments of the population is the prevalence of vision problems. Effective use of these devices is predicated upon reasonable visual performance by a user who must interact with a small area. This is particularly problematic for the population of older users, who face increasing incidence of vision ailments as they age. But even for younger people, there is evidence that the prevalence of myopia is increasing, especially in Asian populations. Furthermore, some visual impairments involve higher order optical aberrations (sometimes referred to as "irregular astigmatism"), which are impossible to correct with spectacle lenses.In prior work, the PI developed Vision-Realistic Rendering (VRR) to simulate an individual's vision system from measuring his or her optical system. Given these same optical measurements for that individual, the PI's goal in the current project is to achieve vision correction algorithmically and digitally rather than optically; that is, given a user with refractive error corrected by spectacles or with high order optical aberrations, compute an individualized "inverse blur" transformation to be applied to a sharp image such that when the resulting transformed image is then viewed by this individual, the inverse blur is canceled by the optical aberrations of his or her vision and this blurred version of the image appears in sharp focus to this individual.The problem with the inverse blurring process is that it tends to produce an image whose dynamic range is much larger than that of the original image (due to a weak frequency response in the blurring kernel, and division by weak response creates large values). There are usually many negative pixels and a bright spot in the pre-deconvolved image. Computation of the pre-deconvolved image involves using inverse-filtering or a spatial domain solver. However, the situation is fundamentally different from that of performing the image de-blurring as a post-process; since the blurring convolution is the final step, there is a loss of frequency information that cannot be recovered by adding prior knowledge. The PI's approach in this project is to address the large dynamic range of the pre-deconvolved image by using a high dynamic range display system, and the loss of frequency information by the concept of a multi-layered display that does not lose any frequency content even after the blurring.Broader Impacts: Eyeglasses cannot correct higher order optical aberrations that arise in the vision system of many patients who have certain types of corneal pathologies or who experience side effects of corneal refractive surgeries (such as LASIK and PRK). If successful, this research will significantly impact vision correction technology by laying the foundations for a variety of new display algorithms and devices which transcend this limitation and provide vision correction for patients whose vision problems are related to either low or higher order optical aberrations. The PI makes a concerted effort to involve undergraduate students and minorities in his research. He offers independent study for students at all levels, includes undergraduate students in research group meetings, and offers freshman and sophomore seminars on related topics. He works closely with the Black Graduate Engineering and Science Students and Latino Association of Graduate Students in Engineering and Science, and supervises students in the Summer Undergraduate Program in Engineering Research at Berkeley which brings underrepresented minorities from around the country to do research at Berkeley during the summer.

这项研究关注的是眼睛的折射元件以及在将光聚焦到视网膜上的过程中产生的误差或伪影。 随着移动的手持设备的普及持续增长，可能成为越来越多的人采用这些设备的障碍的限制因素是视力问题的普遍存在。 这些设备的有效使用取决于必须与小区域交互的用户的合理视觉性能。 这对于老年用户群体尤其成问题，他们随着年龄的增长面临视力疾病的发病率增加。 但即使对于年轻人来说，也有证据表明近视的患病率正在增加，特别是在亚洲人群中。 此外，一些视觉障碍涉及高阶光学像差（有时称为“不规则散光”），这是不可能用眼镜片矫正的。在之前的工作中，PI开发了视觉真实感渲染（VRR），通过测量个人的光学系统来模拟个人的视觉系统。 鉴于这些相同的光学测量的个人，PI的目标是在目前的项目是实现视力矫正算法和数字化，而不是光学;也就是说，如果用户具有通过眼镜矫正的屈光不正或具有高阶光学像差，计算个性化的“逆模糊”变换被应用于清晰图像，使得当该个体随后观看所得到的变换图像时，逆模糊被他或她的视觉的光学像差所抵消，并且这个模糊的图像版本在这个个体看来是清晰的。逆模糊过程的问题在于，它倾向于产生动态范围比原始图像大得多的图像图像（由于模糊核中的弱频率响应，除以弱响应会产生大值）。 在预去卷积的图像中通常存在许多负像素和亮点。 预去卷积图像的计算涉及使用逆滤波或空间域求解器。 然而，这种情况与执行图像去模糊作为后处理的情况有本质的不同;由于模糊卷积是最后一步，因此存在无法通过添加先验知识来恢复的频率信息的损失。 PI在该项目中的方法是通过使用高动态范围显示系统来解决预去卷积图像的大动态范围，并通过多层显示的概念来解决频率信息的丢失，即使在模糊之后也不会丢失任何频率内容。眼镜不能校正在许多患有某些类型的角膜病变或患有侧角膜病变的患者的视觉系统中出现的高阶光学像差。角膜屈光手术（如LASIK和LASIK）的影响。 如果成功的话，这项研究将通过为各种新的显示算法和设备奠定基础来显著影响视力矫正技术，这些算法和设备超越了这一限制，并为视力问题与低阶或高阶光学像差相关的患者提供视力矫正。 PI共同努力，让本科生和少数民族参与他的研究。 他为各级学生提供独立学习，包括研究小组会议的本科生，并提供相关主题的大一和大二研讨会。 他与黑人研究生工程和科学的学生和研究生在工程和科学的拉丁美洲协会密切合作，并监督学生在伯克利工程研究夏季本科课程，使来自全国各地的少数民族在夏季在伯克利做研究。