Apparatuses, systems, and techniques to perform a fast Fourier transform operation. In at least one embodiment, a fast Fourier transform operation is performed based on one or more parameters, wherein the one or more parameters indicate information about one or more operands of the fast Fourier transform.

A displacement meter that measures displacement of an object includes a calculation circuit which calculates a displacement amount of the object using a cross-correlation function of plural images detected at different timings by a photoelectric conversion element array. The calculation circuit performs a Fourier transform on the images, applies a band-pass filter to the images having undergone the Fourier transform, and calculates the cross-correlation function using the images to which the band-pass filter has been applied. Assuming that a magnification of a light-receiving optical assembly is M, the number of pixels in the photoelectric conversion element array is N, and a pixel pitch is P (um), a low cut-off frequency HPF of the band-pass filter and a high cut-off frequency LPF of the band-pass filter satisfy: 3M/(N×P)≤HPF≤10M/(N×P), 40M/(N×P)≤LPF≤60M/(N×P).

A method for determining extrinsic camera parameters includes: starting camera movement, capturing a first raw image with parallel first and second patches at a first point of time, and a second raw image with parallel third and fourth patches at a second point of time. A distance between the first and second patches and between the third and fourth patches is the same. A reference position A of a first patch image feature, a reference position C of a second patch image feature, an offset position B of the feature of the first patch in the third patch, and an offset position D of the feature of the second patch in the fourth patch are detected. An epipolar model is applied based on the positions A-D and a distance travelled by the camera between the first and second time points. Extrinsic camera parameters are determined from the epipolar model.

Systems and methods are disclosed for an ultrasound system. In various embodiments, a system is configured to receive echo data corresponding to a detection of an echo of a pulse signal, generate a set of transformations based on the echo data, and generate a set of point estimates for a frequency dependent filtering coefficient of a spectral response. The system is further configured to extract a set of attenuation coefficients based on the set of point estimates for the frequency dependent filtering coefficient and generate image data for the material of interest based on the set of attenuation coefficients.

Disclosed herein include embodiments of a system, a device, and a method for sorting a plurality cells of a sample. A plurality of raw images comprising pixels of complex values in a frequency space can be generated from a plurality of channels of fluorescence intensity data of fluorescence emissions of fluorophores, the fluorescence emissions being elicited by fluorescence imaging using radiofrequency-multiplexed excitation in a temporal space. Spectral unmixing can be performed on the raw images prior to a sorting decision being made.

A preprocessing technique for synthetic radar images. An embodiment of a method for preprocessing synthetic aperture radar images includes: receiving range-compressed radar data generated from raw radar image data on-board a satellite or an airborne vehicle; generating a preliminary SAR image by performing a pre-focusing on the range-compressed radar data; extracting image subsectors from the preliminary SAR image; transmitting the extracted image subsectors to an on-ground portion; reconstructing the range-compressed radar data pertaining to the extracted image subsectors; and making the range-compressed radar data pertaining to the extracted image subsectors available for a Nominal synthetic aperture radar processor, wherein the Nominal synthetic aperture radar processor is configured to generate a focused SAR image having a nominal value of image resolution that is higher than the resolution of the preliminary SAR image.

Embodiments described herein provide an integrated holographic reconstruction platform that enables a user to perform three-dimensional visualization of a phenomenon by reconstructing holograms using a combination of normalization and propagation algorithms, which yields better results with significantly less demanding processing time and computing resources. Specifically, the integrated holographic reconstruction platform may be implemented as an all-in-one computer software that includes software components of digital holographic reconstruction, de-twining and optical distortion removal via a user-friendly graphical interface.

A system for separating audio based on sound producing objects includes a processor configured to receive video data and audio data. The processor is also configured to perform object detection using the video data to identify a number of sound producing objects in the video data and predict a separation for each sound producing object detected in the video data. The processor is also configured to generate separated audio data for each sound producing object using the separation and the audio data.

Disclosed are methods, systems, and non-transitory computer-readable medium for color and pattern analysis of images including wearable items. For example, a method may include receiving an image depicting a wearable item, identifying the wearable item within the image by identifying a face of an individual wearing the wearable item or segmenting a foreground silhouette of the wearable item from background image portions of the image, determining a portion of the wearable item identified within the image as being a patch portion representative of the wearable item depicted within the image, deriving one or more patterns of the wearable item based on image analysis of the determined patch portion of the image, deriving one or more colors of the wearable item based on image analysis of the determined patch portion of the image, and transmitting information regarding the derived one or more colors and information regarding the derived one or more patterns.

The technology disclosed present systems and methods to produce an enhanced resolution image from images of a target using structured illumination microscopy (SIM). The method includes transforming at least three images of the target captured by a sensor in a spatial domain into a Fourier domain to produce at least three frequency domain matrices that each include first blocks of complex coefficients and redundant second blocks of complex coefficients that are conjugates to the first blocks. The method includes reducing computing resources required to produce the enhanced resolution image by using first blocks of complex coefficients to produce at least three phase-separated half-matrices in the Fourier domain. The method includes performing one or more intermediate transformation on the phase-separated half-matrices to produce realigned shifted half-matrices. The method includes calculating complex coefficients of second blocks in the Fourier domain to produce full matrices from half-matrices.