Depth estimation from a single image is well-known challenge in computer vision. With the advent of deep learning, several approaches for monocular depth have been proposed, all which inherent limitations due to scarce cues that exist image. Moreover, these methods are very demanding computationally, makes them inadequate systems with limited processing power. In this paper, phase-coded aperture camera proposed. The equipped an optical phase mask provides unambiguous depth-related color...

Modern consumer electronics market dictates the need for small-scale and high-performance cameras. Such designs involve trade-offs between various system parameters. In such trade-offs, Depth Of Field (DOF) is a significant issue very often. We propose computational imaging-based technique to overcome DOF limitations. Our approach based on synergy simple phase aperture coding element convolutional neural network (CNN). The element, designed extension using color diversity in imaging...

Stereo imaging is the most common passive method for producing reliable depth maps. Calibration a crucial step every stereo-based system, and despite all advancements in field, calibrations are still done by same tedious using checkerboard target. Monocular-based estimation methods do not require extrinsic calibration but generally achieve inferior accuracy. In this paper, we present novel online self-calibration method, which makes use of both stereo monocular maps to find transformation...

Video reconstruction from a single motion-blurred image is challenging problem, which can enhance the capabilities of existing cameras. Recently, several works addressed this task using conventional imaging and deep learning. Yet, such purely digital methods are inherently limited, due to direction ambiguity noise sensitivity. Some attempt address these limitations with non-conventional sensors, however, sensors extremely rare expensive. To circumvent by simpler means, we propose hybrid...

Motion-related image blur is a known issue in photography. In practice, it limits the exposure time while capturing moving objects; thus, achieving proper difficult. Extensive research has been carried out to compensate for it, allow increased light throughput without motion artifacts. this work, joint optical-digital processing method deblurring proposed and demonstrated. Using dynamic phase coding lens aperture during acquisition, trajectory encoded an intermediate optical image. This...

A recent publication [Opt. Express16, 20540-20561 (2008)] presented a way for extending the depth of field (DOF) imaging systems using binary phase mask made annular rings delivering π-phase shift. Usually, such masks are designed with respect to some central wavelength; they will thus deliver different shift other wavelengths. This issue is reexamined in this paper, where it shown that polychromatic same over wide range wavelengths provide improved an extended DOF. The simulation results...

Passive depth estimation is among the most long-studied fields in computer vision. The common methods for passive are either a stereo or monocular system. Using former requires an accurate calibration process, and has limited effective range. latter, which does not require extrinsic but generally achieves inferior accuracy, can be tuned to achieve better results part of In this work, we suggest combining two frameworks. We propose two-camera system, cameras used jointly extract individually...

Lenses used in many infrared (IR) imaging systems are temperature sensitive. One of the most popular IR optical materials for lens fabrication is germanium; nevertheless, it exhibits a strong dependent refractive index, causing significant thermal focal shift which turn results image blur. An all-optical solution athermalization with no moving parts based on thermally binary phase mask hereby proposed and analyzed. It allows high quality to be obtained wide range variations, minimal...

Polarization imaging generally requires either a designated sensor or sequence of polarization-filtered images. We propose lensless polarization camera, based on conventional sensor, diffuser, simple filter, and restoration algorithm.

Video reconstruction from a single motion-blurred image is challenging problem, which can enhance the capabilities of existing cameras. Recently, several works addressed this task using conventional imaging and deep learning. Yet, such purely-digital methods are inherently limited, due to direction ambiguity noise sensitivity. Some proposed address these limitations non-conventional sensors, however, sensors extremely rare expensive. To circumvent with simpler means, we propose hybrid...

Motion deblurring solution based on spatio-temporal coding is proposed. Using aperture and focus variations during exposure, a joint achieved, which in-turn utilized for motion in the post processing step.

Design of Infra-red (IR) imaging systems requires solutions for overcoming thermal variations IR lenses, in particular those fabricated out Germanium. The known dependence the index refraction Germanium results significant focal shift, which produces image blur. Known to overcome fluctuations are reviewed. A solution based on an alloptical phase mask with no moving parts will be shown provide improved imagery broad band scenes presence wide temperature variations. Phase design considerations...

Single image depth estimation is achieved using computational imaging and Deep Learning (DL). Imaging with phase-mask also modeled as a DL-layer, the mask DL parameters are jointly designed labeled data.

Motion blur is a known issue in photography, as it limits the exposure time while capturing moving objects. Extensive research has been carried to compensate for it. In this work, computational imaging approach motion deblurring proposed and demonstrated. Using dynamic phase-coding lens aperture during image acquisition, trajectory of encoded an intermediate optical image. This encoding embeds both direction extent by coloring spatial each object. The color cues serve prior information blind...

We present a method for video reconstruction of the scene dynamics from single image using coded motion blur. Our approach addresses limitations ill-posed task and utilizes learned optical coding approach.