Abstract: A computer-implemented method for correcting flicker in camera-captured images. The method includes receiving two or more images of a real-world environment that are captured by at least one camera; analysing at least one of: brightness variations, colour variations, contrast variations, in the two or more images for identifying presence of a flicker in said images; generating flicker information pertaining to the identified flicker, based at least one on said analysis, wherein the flicker information comprises at least one of: a frequency, an amplitude, a phase, a location, of the flicker; and applying a correction technique on at least one image amongst the two or more images for generating at least one corrected image, based on the flicker information.

Abstract: A computer-implemented method for correcting colour reproduction in camera-captured images. The method includes: receiving at least two images of a real-world environment, wherein the at least two images are captured by at least one camera using at least two camera settings that are different from each other; analysing image properties indicative of colour reproduction in the at least two images for identifying colour inconsistencies therebetween; generating information indicative of the identified colour inconsistencies; and applying a correction technique on at least one image amongst the at least two images for generating at least one corrected image, based on the generated information indicative of the identified colour inconsistencies.

Abstract: A method for multi-exposure imaging in an extended-reality (XR) system. The method includes: controlling at least one camera to capture a set of images by employing at least a first exposure (FE) and a second exposure (SE) during a readout cycle; processing a first image amongst the set, captured using the first exposure, for generating a video pass-through (VPT) image of a real-world environment, wherein the VPT image is to be utilised for generating an XR image; and processing a second image amongst the set, captured using the second exposure, for enabling at least one non-VPT XR functionality.

Abstract: A method for processing and transferring image data in an image processing system (IPS), including: receiving, image(s) from image source(s) included in IPS; processing image(s) to generate: first image (FI) of first resolution by downscaling image(s), FI comprises first luminance plane (FLP) and first chrominance planes (FCPs); second image (SI) of second resolution by cropping given portion of image(s) corresponding to region of interest, comprising second luminance plane (SLP) and second chrominance planes (SCPs); separating SLP from SCPs of SI; transmitting, to host device (306): FI with FLP and FCPs, SI with SLP; receiving at host device: FI with FLP and FCPs, SI with SL; reconstructing SCPs for the SI, by extracting FCPs from FT and upscaling FCPs of FT using SL of SI as a reference plane; reconstructing, at host device, SI of second resolution.

Abstract: A system for tracking poses of devices within an environment, system including: audio sensors, wherein audio sensor(s) is attached with each device amongst devices, each audio sensor is configured to: detect sound signals incident thereon; and generate sensor data including timestamps corresponding to detected sound signals; and a processor communicatively coupled to audio sensors. The processor is configured to: receive sensor data from audio sensors; identify acoustic events based on correlations of detected sound signals across sensor data; estimate relative poses of devices based on time differences of arrival (TDoA) of sound signals corresponding to a same acoustic event and speed of sound in environment; and determine poses of devices within coordinate space of environment, based on estimated relative poses of devices, speed of sound, and pose of source(s) of sound signals in coordinate space.

Abstract: A system and a method for managing audio interference between audio devices operating within a physical environment. The method includes capturing respective audio signals from the physical environment using audio sensors associated with a plurality of audio devices; analysing the audio signals to determine whether at least two audio devices from the plurality of audio devices are within an audio interference range; detecting a first audio signal from a first user associated with a first audio device determined to be within the audio interference range; determining whether playback of the first audio signal through a second audio device would create an audio interference condition for the first user; and when it is determined that the playback would create the audio interference condition, modifying one or more audio playback parameters of the second audio device to mitigate the audio interference condition.

Abstract: A system for capturing and rendering spatial audio data of given space, system includes: device(s) that is arranged within given space; observer device; and central processing unit (CPU). The device(s) includes: first audio sensor(s); first spatial orientation sensor (SOS); and first location sensor (LS). Observer device includes: second SOS; and second LS. CPU is configured to: receive first spatial audio capture data (SACD) from first audio sensor(s), first pose data from first SOS, and first location data from first LS; receive second pose data from second SOS, and second location data from second LS; process first SACD to correct and align said first SACD to generate processed first SACD; generate observer-specific audio data; and stream observer-specific audio data(s) to observer device.

Abstract: A method for multi-exposure high dynamic range (HDR) imaging. The method includes: receiving an input sequence of images captured by camera(s), wherein the images of the input sequence are captured using one or more exposures; applying a hallucination technique on one or more images of the input sequence, for generating a hallucinated set of images corresponding to a target exposure that lies within a target exposure (TE) range; and generating an output sequence of HDR images at a same frame rate as the input sequence, by employing a first neural network, each HDR image being generated using at least a previously-generated HDR image and one of: a corresponding image from the hallucinated set, a corresponding image from the input sequence.

Abstract: Disclosed is a method and a system for compensating for ghosting artifacts in a display apparatus. The method includes receiving an input image intended for display on a display panel within the display apparatus. The method further includes analyzing the input image to identify pixel regions susceptible to ghosting based on proximity to an optical axis of a lens unit in the display apparatus. The method further includes calculating a compensatory color value for each pixel in the identified pixel regions using a convolution process. The compensatory color value incorporates effects of light leakage from surrounding pixels on the corresponding pixel. The method further includes applying the compensatory color values to the corresponding pixels in the identified pixel regions for generating an adjusted image. The method further includes displaying the adjusted image on the display panel of the display apparatus.

Abstract: An imaging system includes an image sensor chip with a photo-sensitive surface, photo-sensitive cells; and a colour filter array with physical smallest repeating units (PSRUs), a given PSRU having at least four sub-units, a given sub-unit comprising colour filters of at least three different colours; and at least four other colour filters whose size is equal to a size of the given sub-unit; and processor(s) configured to: obtain first image data corresponding to the at least four sub-units in individual ones of the PSRUs, while obtaining second image data corresponding to the at least four other colour filters in the individual ones of the PSRUs; and generate at least one of: a first-resolution image, a second-resolution image, a third-resolution image, a high-dynamic range (HDR) image.

Abstract: Disclosed is a method and a Head Mounted Display (HMD) for static distortion correction. The method involves collecting distortion data from an optical arrangement of the HMD, associated with a plurality of gaze directions defined by relative position of the user's pupil or head to a display screen of the HMD. The distortion data includes display pixel coordinates for display pixels and their corresponding image plane coordinates. A distortion map for each gaze direction is generated, including virtual plane coordinates of the corresponding display pixels derived from the distortion data, which are combined to form a single multi-view distortion map, calculated by a weighted average of the virtual plane coordinates across the gaze directions. The multi-view distortion map is applied to display content, ensuring distortion correction across entire field of view of the display screen of the HMD.

Abstract: Image data from an image sensor is read out, wherein when reading out, processor(s) is/are configured to employ subsampling by: reading out the image data from photo-sensitive cells that correspond to a first set of lines in a colour filter array (CFA), wherein a given line in the first set has colour filters of each of at least three different colours, the given line being a row (R1-R8) or a column (C1-C8) of the CFA; and skipping read out from photo-sensitive cells that correspond to a second set of lines in the CFA, wherein the first set of lines has one of: odd lines in the CFA, even lines in the CFA, while the second set of lines has another of: the odd lines, the even lines. The image data is processed to generate an image.

Abstract: Disclosed is an imaging system with image sensor and processor(s). The image sensor has a plurality of photo-sensitive cells and a colour filter array. The processor(s) is configured to read out unprocessed colour data from those photo-sensitive cells that correspond to the colour filters of the at least three different colours; generate coarse depth data by processing data read out from at least one of: those photo-sensitive cells that correspond to the colour filters that allow the at least one infrared wavelength to pass through the PDAF photo-sensitive cells; perform interpolation and demosaicking on the unprocessed colour data and the coarse depth data, using at least one neural network, to generate a full-resolution colour data and a full-resolution depth data; and reproject the full-resolution colour data from a given camera pose to a given eye pose of a user, by utilising the full-resolution depth data.

Abstract: A display apparatus including a display module with a display; and a gaze-tracking system with a plurality of light emitters and at least one light sensor, wherein the plurality of light emitters are arranged within a predefined region of an active area of the display module.

Abstract: An image sensor with photo-sensitive cells arranged on a photo-sensitive surface; and a colour filter array having smallest repeating units, wherein: a given smallest repeating unit has at least a first sub-unit and a second sub-unit. Image data is read out from the image sensor, wherein when reading out, processor(s) is/are configured to: selectively read out the image data from those photo-sensitive cells in a first region that correspond to respective first sub-units of smallest repeating units in the first region; and selectively skip reading out from those photo-sensitive cells in a second region that correspond to respective first sub-units of at least a first predefined percent of smallest repeating units in the second region; and process the image data to generate image(s).

Abstract: A method for deblurring distortion-corrected images, includes: obtaining a video-see-through (VST) image of a real-world environment; determining a given region of the VST image, based on at least one of: a distortion profile of a camera lens of at least one VST camera, blur characteristics of the camera lens, a scaling ratio between a resolution of the at least one VST camera and a resolution of a display whereat the VST image is to be displayed; and performing an undistortion deblurring operation on the given region of the VST image, by utilising at least one of: (i) a deblurring deconvolution filter, (ii) at least one neural network, based on locations of pixels of the given region, to generate an output image.

Abstract: Disclosed is an imaging system with an image sensor and processor(s). The image sensor has a plurality of photo-sensitive cells arranged on a photo-sensitive surface of the image sensor; a colour filter array with colour filters of at least three different colours; and a polarisation mask with polarisation filters arranged on an optical path of at most a first predefined percent of the colour filters. The processor(s) is/are configured to: read out image data from the image sensor; and process the image data to generate at least one of: a full-resolution colour image, a full-resolution polarisation image, a high-dynamic range (HDR) image.

Abstract: An optical arrangement for reducing reflections in camera includes image sensor with a light-sensitive surface and a filter arranged at a first distance from the light sensitive surface along an optical axis of optical arrangement. The filter includes a first curved surface facing a light-sensitive surface, and a second surface opposite to the first curved surface. The light-sensitive surface is configured to receive light and reflect received light towards the filter. The filter is configured to reflect light between a first curved surface and a second surface inside the filter. Reflections between the filter and the light sensitive surface are reduced.

Abstract: Image data from an image sensor is read out, wherein when reading out, processor(s) is/are configured to employ subsampling. The image data is processed, using neural network(s), to generate an image.

Abstract: A method includes detecting when a prescription lens is attached to a display apparatus; obtaining metadata associated with the prescription lens, upon the detection; determining whether the prescription lens belongs to a given set of prescription lenses that are pre-known to be compatible with the display apparatus, based on the obtained metadata; when it is determined that the prescription lens belongs to the given set of prescription lenses, obtaining at least one compensatory parameter corresponding to the prescription lens from a first data repository; and implementing prescription lens compensation by employing the at least one compensatory parameter, wherein the prescription lens compensation includes one or more of: processing at least one of: gaze-tracking data, extended-reality images to be displayed by the display apparatus, adjusting at least one physical setting of the display apparatus.