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Devices for integrated multi-aperture imaging.

机译:集成多孔径成像的设备。

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摘要

There has been significant development of image sensors over the last decade to address issues such as sensitivity, resolution, capture rate, dynamic range, dark current, crosstalk, power consumption, manufacturability and cost. The motivation to decrease pixel size has been either to increase spatial resolution in a given format or to produce smaller formats at a given resolution for potentially lower cost. As pixel size is approaching the limits of conventional optics, improvements in resolution are diminishing. Scaling pixels beyond these limits, however, can provide new imaging capabilities beyond merely attempting to increase spatial resolution.;One consistent limitation in conventional image sensors has been that the sensing area is constrained to a regular array of photosites used to recover an intensity distribution in the focal plane of the imaging system. Although this is the most direct method of image capture, there are both practical and fundamental issues that limit the scalability or performance of these systems. This research explores an alternative approach to imaging, whereby the image sensor is partitioned into an array of apertures that can form images through a distributed process.;A Multi-aperture image sensor is designed with an array of apertures integrated onto a single chip. Each aperture contains its own local sub-array of pixels and image forming optics. By focusing the integrated optics onto the image formed by an objective lens in a region above the multi-aperture imager, the apertures capture overlapping views of the scene. The correlation and redundancy between apertures, along with computation, provide several new capabilities. The most notable feature of this design, which motivates the use of submicron pixels, is that a depth map of the scene may be extracted along with the image. The accuracy in the depth calculations depends on estimating the locations of features within each sub-array of pixels. The positions of features rather than the features themselves may be estimated to resolution higher than a diffraction or aberration limited lens can provide. Furthermore, very high resolution sensors may be made possible because the arrays of pixels may be disjoint. This allows flexibility in readout and correction for manufacturing. Color performance is improved as neighboring pixels all contain the same filter. This design is also useful for close-proximity imaging where the objective lens can be eliminated in order to produce a flat imaging system.;Three types of submicron CCDs are implemented in single-poly 0.11mum CMOS technology to demonstrate the feasibility of multi-aperture imaging systems that produce data from distributed arrays of CCDs integrated across a monolithic substrate. Test structures comprising 16 x 16 pixel Frame-Transfer (FT)-CCDs with 0.5--0.7mum pixels are fabricated under various process conditions to implement devices which operate as surface-channel, buried-channel and pinned phase buried-channel. Ripple charge transfer and single electrode charge confinement are implemented to minimize pixel pitch.
机译:在过去的十年中,图像传感器已经取得了很大的发展,以解决诸如灵敏度,分辨率,捕获率,动态范围,暗电流,串扰,功耗,可制造性和成本等问题。减小像素尺寸的动机是要么以给定格式增加空间分辨率,要么以给定分辨率产生更小的格式以潜在地降低成本。随着像素尺寸接近常规光学器件的极限,分辨率的提高正在减弱。但是,将像素缩放到这些限制之外,就可以提供新的成像功能,而不仅仅是尝试提高空间分辨率。传统图像传感器的一个一致局限性是,感应区域被限制在用于恢复光强分布的规则的光斑阵列中。成像系统的焦平面。尽管这是最直接的图像捕获方法,但存在实际和基本问题,这些问题限制了这些系统的可伸缩性或性能。这项研究探索了一种替代的成像方法,该方法将图像传感器划分为可以通过分布式过程形成图像的孔径阵列。多孔径图像传感器的设计是将孔径阵列集成到单个芯片上。每个光圈包含其自己的像素和成像光学元件的局部子阵列。通过将集成的光学元件聚焦到多孔径成像器上方区域中由物镜形成的图像上,光圈可以捕获场景的重叠视图。孔径之间的相关性和冗余以及计算提供了几种新功能。该设计最显着的特征是激发了亚微米像素的使用,它可以将场景的深度图与图像一起提取。深度计算的准确性取决于估计每个像素子阵列内特征的位置。可以估计特征的位置而不是特征本身的分辨率,使其分辨率高于受限透镜可以提供的衍射或像差。此外,由于像素的阵列可能不相交,因此可以使非常高分辨率的传感器成为可能。这允许在制造中读出和校正的灵活性。由于相邻像素都包含相同的滤镜,因此色彩性能得到了改善。此设计对于可消除物镜以产生平坦成像系统的近距离成像也很有用。在单聚0.11mm CMOS技术中实现了三种亚微米CCD类型,以证明多孔径的可行性成像系统可从集成在单块基板上的CCD分布式阵列产生数据。在各种工艺条件下制造包括16个x 16像素帧传输(FT)-CCD且像素为0.5--0.7微米的测试结构,以实现可作为表面通道,掩埋通道和固定相掩埋通道工作的器件。实施纹波电荷转移和单电极电荷限制以最小化像素间距。

著录项

  • 作者

    Fife, Keith G.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 130 p.
  • 总页数 130
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

  • 入库时间 2022-08-17 11:37:38

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