Abstract: A method comprising receiving data representing light intensity values corresponding to a flicker pattern of a reference light source powered by an alternating current (AC); operating a controllable illumination source, based, at least in part, on said data; capturing, using an imaging device, a sequence of images of a scene illuminated, at least in part, by said controllable illumination source; estimating an intensity value for at least one pixel in said array, correspondingly in each of said images in said sequence of images; and determining a temporal point in said flicker pattern of said reference light source, based, at least in part, on said estimating.

Abstract: Systems and methods for imaging scenes illuminated by light sources that are powered by alternating current. Data concerning these light sources are extracted from the imagery. Systems comprising a rolling shutter imaging sensor and configured to de-flicker images with spatial flicker are also provided.

Abstract: A method comprising receiving data representing light intensity values corresponding to a flicker pattern of a reference light source powered by an alternating current (AC); operating a controllable illumination source, based, at least in part, on said data; capturing, using an imaging device, a sequence of images of a scene illuminated, at least in part, by said controllable illumination source; estimating an intensity value for at least one pixel in said array, correspondingly in each of said images in said sequence of images; and determining a temporal point in said flicker pattern of said reference light source, based, at least in part, on said estimating.

Abstract: Systems and methods for imaging scenes illuminated by light sources that are powered by alternating current. Data concerning these light sources are extracted from the imagery. Systems comprising a rolling shutter imaging sensor and configured to de-flicker images with spatial flicker are also provided.

Abstract: A method for packet loss concealment, that includes: continuously receiving a digital audio stream; extracting audio features from the digital audio stream while the digital audio stream is unharmed; and upon detecting a gap in the digital audio stream, filling the gap with one or more previous segments of the digital audio stream, wherein the filling is based on a matching of the one or more of the extracted audio features with one or more audio features adjacent to the gap.

Abstract: A method for cross-modal signal denoising, the method comprising using at least one hardware processor for: providing a first multi-modal signal comprising at least two relatively clear modalities; correlating features exhibited simultaneously in the at least two relatively clear modalities of the first multi-modal signal; providing a second multi-modal signal comprising at least one relatively noisy modality and at least one relatively clear modality; and denoising the at least one relatively noisy modality of the second multi-modal signal by associating between (a) features exhibited in the at least one relatively noisy modality of the second multi-modal signal and (b) the features of the first multi-modal signal.

Abstract: A method for packet loss concealment, comprising: continuously receiving a digital audio stream; extracting audio features from the digital audio stream while the digital audio stream is unharmed; and upon detecting a gap in the digital audio stream, filling the gap with one or more previous segments of the digital audio stream, wherein said filling is based on a matching of the one or more of the extracted audio features with one or more audio features adjacent to the gap.

Abstract: A method for cross-modal signal denoising, the method comprising using at least one hardware processor for: providing a first multi-modal signal comprising at least two relatively clear modalities; correlating features exhibited simultaneously in the at least two relatively clear modalities of the first multi-modal signal; providing a second multi-modal signal comprising at least one relatively noisy modality and at least one relatively clear modality; and denoising the at least one relatively noisy modality of the second multi-modal signal by associating between (a) features exhibited in the at least one relatively noisy modality of the second multi-modal signal and (b) the features of the first multi-modal signal.

Abstract: A system and method are provided for imaging in scattering media such as fog, water and biological tissues. Normally, such images suffer from poor visibility due to backscattering and signal attenuation. At least two images are taken of the scene using active widefield polarized illumination, with different states of a camera-mounted polarizer. The degree of polarization of backscatter is estimated in every point of the scene, leading to an estimation of the backscatter in every point of the scene. A portion or all of the value of backscatter can be deducted in each point of the scene resulting in an enhanced image with improved contrast and brightness range across the field of view.

Abstract: A system and method are provided for imaging in scattering media such as fog, water and biological tissues. Normally, such images suffer from poor visibility due to backscattering and signal attenuation. At least two images are taken of the scene using active widefield polarized illumination, with different states of a camera-mounted polarizer. The degree of polarization of backscatter is estimated in every point of the scene, leading to an estimation of the backscatter in every point of the scene. A portion or all of the value of backscatter can be deducted in each point of the scene resulting in an enhanced image with improved contrast and brightness range across the field of view.

Abstract: Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering, particularly in haze. A major problem is spatially-varying reduction of contrast by stray radiance (airlight), which is scattered by the haze particles towards the camera. The images can be compensated for haze by subtraction of the airlight and correcting for atmospheric attenuation. Airlight and attenuation parameters are computed by analyzing polarization-filtered images. These parameters were estimated in past studies by measuring pixels in sky areas. However, the sky is often unseen in the field of view. The invention provides methods for automatically estimating these parameters, when the sky is not in view.

Abstract: A method for enhancing underwater imaging affected by image degradation effects, the method comprising: acquiring at least one image of an underwater scene using an imaging device; determining information regarding distances of parts of the scene relative to the imaging device; and reconstructing an image of the underwater scene using a physics-based mathematical model, compensating image characteristics influenced by distance-dependent underwater degradation effects including veiling light, using the information on the distances of parts of the scene from the imaging device, and compensating distance-dependent underwater degradation effects relating to the distance of illumination sources from the scene.

Abstract: A system and method are provided for imaging in scattering media such as fog, water and biological tissues. Normally, such images suffer from poor visibility due to backscattering and signal attenuation. At least two images are taken of the scene using active widefield polarized illumination, with different states of a camera-mounted polarizer. The degree of polarization of backscatter is estimated in every point of the scene, leading to an estimation of the backscatter in every point of the scene. A portion or all of the value of backscatter can be deducted in each point of the scene resulting in an enhanced image with improved contrast and brightness range across the field of view.

Abstract: A method for enhancing underwater imaging affected by image degradation effects, the method comprising: acquiring at least one image of an underwater scene using an imaging device; determining information regarding distances of parts of the scene relative to the imaging device; and reconstructing an image of the underwater scene using a physics-based mathematical model, compensating image characteristics influenced by distance-dependent underwater degradation effects including veiling light, using the information on the distances of parts of the scene from the imaging device, and compensating distance-dependent underwater degradation effects relating to the distance of illumination sources from the scene.

Abstract: An imager (200) including a spatially varying optical element (204) which moves while the imager records a sequence of images. The optical element (204) can be an intensity reduction filter, a spectral or polarization filter, or a refractive or reflective element. Because the optical element (204) moves between frames, each scene portion is captured under a range of imaging conditions. A spatially varying intensity reduction filter enables imaging of each scene portion using multiple, different exposure to generate a high dynamic range image. A spatially varying spectral or polarization filter enables measurement of the spectral or polarization characteristics of radiation from each scene portion. A refractive or reflective element enables imaging of scene portions under various focal characteristics, thereby providing depth information and producing an image which is focused everywhere.