Tuning field depth at high resolution by pupil engineering

Ojeda‐Castañeda, J.; Gómez-Sarabia, Cristina M.

doi:10.1364/aop.7.000814

Cited by 37 publications

(11 citation statements)

References 219 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mask extends from x = -L to x = L. This interval represents the pupil aperture, which is here represented by the rectangular function in Eq. (21). The maximum transmittance value, that is equals to unity, is located at x = -L. The minimum transmittance value is located at x = L.…”

Section: Governable Absorption: Complementary Amplitude Pairsmentioning

confidence: 95%

See 1 more Smart Citation

Tunable focalizers: phase conjugate pairs

Ojeda‐Castañeda

Gómez-Sarabia

2019

Fourth International Conference on Applications of Optics and Photonics

Self Cite

View full text Add to dashboard Cite

We discuss the use of pairs of optical masks for setting tunable optical focalizers and for implementing controllable absorption masks. For phase-only masks, one element of a given pair has a complex amplitude transmittance that is equal to the complex conjugate of the other element. For the absorption masks, we use a suitable attenuation offset. Then, from the attenuation offset value, one element has the opposite absorption profile that the other element. These methods are useful for generating varifocal lenses, governable prisms, tunable axicons, controllable axilenses, for tuning field depth, and for controlling Super Gaussian beams.

show abstract

Section: Governable Absorption: Complementary Amplitude Pairsmentioning

confidence: 95%

“…It is apparent from Eq. It is straightforward to show, by employing McCutchen's theorem [20], that the axial irradiance distribution is similar to the irradiance distribution of the Fresnel diffraction pattern of a caused slit aperture [21].…”

Section: Tunable Optical Focalizersmentioning

confidence: 99%

Tunable focalizers: phase conjugate pairs

Ojeda‐Castañeda

Gómez-Sarabia

2019

Fourth International Conference on Applications of Optics and Photonics

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, since real scenes are 3D and involve spectral information, numerous strategies that involve the deliberate introduction of lens aberration have been attempted. As a group these strategies are called pupil engineering [23]. Pupil engineering most famously consists of the introduction of depth invariant blurs to improve depth of field or 3D imaging [24][25][26], but can also be tuned to improve color, depth and other image quality metrics [27][28][29][30][31].…”

Section: Computational Imaging and Computational Photographymentioning

confidence: 99%

Smart Cameras

Brady,

Hu,

Wang

et al. 2020

Preprint

View full text Add to dashboard Cite

We review camera architecture in the age of artificial intelligence. Modern cameras use physical components and software to capture, compress and display image data. Over the past 5 years, deep learning solutions have become superior to traditional algorithms for each of these functions. Deep learning enables 10-100x reduction in electrical sensor power per pixel, 10x improvement in depth of field and dynamic range and 10-100x improvement in image pixel count. Deep learning enables multiframe and multiaperture solutions that fundamentally shift the goals of physical camera design. Here we review the state of the art of deep learning in camera operations and consider the impact of AI on the physical design of cameras.

show abstract

“…Optimization of WFC based on the phase transfer function is proposed in [18]. The importance of WFC, review and further results are discussed in [19], [20] (see also [21]).…”

Section: Relevant Publicationsmentioning

confidence: 99%

A novel two- and multi-level binary phase mask design for enhanced depth-of-focus

Katkovnik,

Hogasten,

Egiazarian

2017

Preprint

View full text Add to dashboard Cite

This paper introduces a two-and multi-level binary phase mask design for improved depth of focus. A novel technique is proposed incorporating cubic and generalized cubic wavefront coding (WFC). The obtained system is optical-electronic requiring computational deblurring post-processing, in order to obtain a sharp image from the observed blurred data. A midwave infrared (MWIR) system is simulated showing that this design will produce high quality images even for large amounts of defocus. It is furthermore shown that this technique can be used to design a flat, single optical element, systems where the phase mask performs both the function of focusing and phase modulation. It is demonstrated that in this lensless design the WFC coding components can be omitted and WFC effects are achieved as a result of the proposed algorithm for phase mask design which uses the quadratic phase of the thin refractive lens as the input signal.

show abstract

Tuning field depth at high resolution by pupil engineering

Cited by 37 publications

References 219 publications

Tunable focalizers: phase conjugate pairs

Tunable focalizers: phase conjugate pairs

Smart Cameras

A novel two- and multi-level binary phase mask design for enhanced depth-of-focus

Contact Info

Product

Resources

About