Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Metamaterial devices and methods of using the same

Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxialiary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Multi-sensor compressive imaging

Methods and associated apparatuses for imaging a target. An echo sequence image of the target is acquired (10) and a log spectrum of at least a portion of the echo sequence image is computed. A point spread function is estimated (14) by one of two methods. According to the first method, a low-resolution wavelet projection of the echo sequence log spectrum (22) is used as an estimate of the log spectrum of the point-spread function. According to the second method, an outlier-resistant wavelet transform of the echo sequence log spectrum is effected (44), followed by soft-thresholding (46) and an inverse wavelet transform (48). Under both methods, a frequency domain phase of the point spread function also is estimated. The relevant portion of the echo sequence image is deconvolved using the estimated point spread function.

Wavelet depulsing of ultrasound echo sequences

An apparatus includes a core waveguide for directing electromagnetic radiation to a focal point, the core waveguide having a first interface on a first side of a longitudinal axis for directing a first plurality of rays of the electromagnetic radiation to a focal point and a second interface on a second side of the longitudinal axis for directing a second plurality of rays of the electromagnetic radiation to the focal point, wherein the first and second interfaces are shaped such that at the focal point, the second plurality of rays are about 180° out of phase with respect to the first plurality of rays.

Phase Offset Integrated Solid Immersion Mirror and Lens For a General Phase Front

A method, apparatus and computer-readable medium is provided that can utilize an undersampling method and can produce a radar image of a target. The radar image of the target can be based on a collection of waveform measurements, where the collection can be based on a significantly reduced number of transmitted and received electromagnetic pulse waveforms.

Compressive radar imaging technology

Special mathematical techniques are used to process accurate energy measurements in the focal plane of a high quality imaging system to produce high resolution images. The improved resolution exceeds the generally accepted Rayleigh limits. That is accomplished by adapting Fourier transform techniques and using both in-phase and quadrature or amplitude and phase components to recover the target scene. The measurement of the in-phase and quadrature or amplitude and phase components are taken in the focal plane and undergo parallel processing to preserve both amplitude and phase in the resulting image. A Fourier transform of the aperture characteristics is removed from a Fourier transform of the energy components to result in a Fourier transform of the image. The scene is recovered by taking an inverse Fourier transform of the result.

RF image reconstruction and super resolution using fourier transform techniques

Diffraction patterns in a focal region are governed by immersing the focal region in dielectric medium having an index of refraction higher than one. The pattern of the focal region is made small by causing the focal region to be immersed in a body having an index of refraction greater than 1. The resulting diffraction pattern sensed appropriately in the focal region is independent of traditional aperture limitations in resolving power. Microwave pictures are taken at the same resolution as optical pictures using the same aperture size when an appropriate dielectric immersion material is provided.

Super-resolution by focal plane immersion

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RF image reconstruction and super resolution using fourier transform techniques

Super-resolution by focal plane immersion