Abstract: A method for designing the spatial partition of a filter module used in an aperture-multiplexed imaging system. The filter module is spatially partitioned into filter cells, and the spatial partition is designed by considering data captured at the sensor in light of an application-specific performance metric.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: A plenoptic otoscope enables three-dimensional and/or spectral imaging of the inside of the ear to assist in improved diagnosis of inflammations and infections. The plenoptic otoscope includes a primary imaging system and a plenoptic sensor. The primary imaging system includes an otoscope objective and relay optics, which cooperate to form an image of an inside of an ear at an intermediate image plane. The plenoptic sensor includes a microimaging array positioned at the intermediate image plane and a sensor array positioned at a conjugate of the pupil plane. An optional filter module may be positioned at the pupil plane or one of its conjugates to facilitate three-dimensional and/or spectral imaging.

Abstract: An adjustable multimode lightfield imaging system. A non-homogeneous filter module is positioned at the pupil plane of the lightfield imaging system and provides the multimode capability. The filter module can be moved relative to the imaging system with the exposure conditions adjusted accordingly, thus allowing adjustment of the multimode capability.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: Calibration for plenoptic imaging systems. The calibration preferably is performed automatically by a processor. In one approach, the processor accesses a plenoptic image captured by the plenoptic imaging system. The plenoptic image is analyzed to determine reference points for superpixels of the plenoptic imaging system, for example the centers of the superpixels. The reference points are used to determine a location of each superpixel relative to the detector array.

Abstract: Metrics for characterizing the focusing of a plenoptic imaging system. In one aspect, the metric is based on the high frequency content and/or the blurring of the plenoptic image.

Abstract: Machine learning techniques are used to train a “dictionary” of input signal elements, such that input signals can be linearly decomposed into a few, sparse elements. This prior knowledge on the sparsity of the input signal leads to excellent reconstruction results via maximum-aposteriori estimation. The machine learning imposes certain properties on the learned dictionary (specifically, low coherence with the system response), which properties are important for reliable reconstruction.

Abstract: A modular plenoptic imaging system, in which various components of the plenoptic imaging system can be detachably attached to each other. In this way, various primary lenses, filter modules, microlens arrays and/or sensor arrays can be interchanged.

Abstract: Metrics for characterizing the focusing of a plenoptic imaging system. In one aspect, the metric is based on the high frequency content and/or the blurring of the plenoptic image.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: The spatial resolution of captured plenoptic images is enhanced. In one aspect, the plenoptic imaging process is modeled by a pupil image function (PIF), and a PIF inversion process is applied to the captured plenoptic image to produce a better resolution estimate of the object.

Abstract: Passive RFID devices are disclosed that perform image recognition. The device includes an antenna, circuitry, and a camera. The antenna receives a radio frequency (RF) signal from a RFID reader. The circuitry stores image data for objects that is used for image recognition. To operate, the circuitry derives power from the RF signal. With the power derived from the RF signal, the camera captures an image. The circuitry then identifies an object in the captured image based on the image data for the objects, and outputs information for the identified object, such as to the RFID reader.

Abstract: Metrics for characterizing the focusing of a plenoptic imaging system. In one aspect, the metric is based on the high frequency content and/or the blurring of the plenoptic image.

Abstract: An object to be imaged is illuminated with a structured (e.g., sinusoidal) illumination at a plurality of phase shifts to allow lateral superresolution and axial sectioning in images. When an object is to be imaged in vitro or in another situation in which the phase shifts cannot be accurately determined a priori, the images are taken, and the phase shifts are estimated a posteriori from peaks in the Fourier transforms. The technique is extended to the imaging of fluorescent and non-fluorescent objects as well as stationary and non-stationary objects.

Abstract: A method for designing the spatial partition of a filter module used in an aperture-multiplexed imaging system. The filter module is spatially partitioned into filter cells, and the spatial partition is designed by considering data captured at the sensor in light of an application-specific performance metric.

Abstract: An object to be imaged is illuminated with a structured (e.g., sinusoidal) illumination at a plurality of phase shifts to allow lateral superresolution and axial sectioning in images. When an object is to be imaged in vitro or in another situation in which the phase shifts cannot be accurately determined a priori, the images are taken, and the phase shifts are estimated a posteriori from peaks in the Fourier transforms. The technique is extended to the imaging of fluorescent and non-fluorescent objects as well as stationary and non-stationary objects.