Abstract:
In accordance with an example embodiment a method, apparatus and computer program product are provided. The method comprises receiving a first image of a scene, the first image comprising angular information associated with the scene. The first image has a first image resolution. A second image of the scene is received. The second image has a second image resolution, wherein the second image resolution is greater than the first image resolution. A pre-processed first image is generated based on the angular information and a selection of a first region of interest (ROI) in the first image. A processed first image of the scene is generated based on a processing of a second ROI in the pre-processed first image corresponding to the first ROI in the first image, and the second image. The processing is configured to render the second image resolution to the second ROI in the pre-processed first image.
Abstract:
In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating receipt of a plurality of light-field images of a scene captured in a burst capture by a light-field camera. The method includes determining shifts between images of the plurality of light-field images, where the shifts between the images of the plurality of light-field images are associated with shake of the light-field camera while capturing the plurality of light-field images. The method includes generating a plurality of depth maps for the plurality of light-field images, and generating a set of view images of the scene based on the plurality of light-field images and the plurality of depth maps. The method includes generating a refocus image by combining the set of view images based at least on the shifts between the images of the plurality of light-field images.
Abstract:
In an example embodiment a method, apparatus and computer program product are provided. The method includes facilitating receipt of a light-field image, determining one or more depth levels in the light-field image and generating a plurality of images from the light-field image. The method includes determining one or more registration matrices corresponding to the one or more depth levels between an image and one or more remaining images of the plurality of images. The method includes performing a super-resolution of the image and the one or more remaining images based on the one or more registration matrices to generate a super-resolved image of the image.
Abstract:
In an example embodiment, a method, apparatus and computer program product are provided. The method includes computing a first cost volume for a light-field image. A first depth map comprising depth information of the plurality of sub-images of the light-field image is computed based on the first cost volume. A first view image comprising reconstruction information is reconstructed based on the depth information of the plurality of sub-images. A second cost volume corresponding to the first cost volume is computed based on the reconstruction information. The second cost volume is filtered based on the first view image to generate an aggregated cost volume. A second depth map is generated based on the aggregated cost volume. The second depth map facilitates generation of a second view image that is associated with a resolution higher than a resolution of the first view image.
Abstract:
An apparatus including a first optical element, a second optical element and an image sensor. The first optical element is configured to focus light with first wavelengths on the second optical element, and the second optical element is invisible to light with second wavelengths and configured to relay an image containing lightfield information on the image sensor from light with the first wavelengths.
Abstract:
A method, apparatus and computer program for controlling a digital microlens array camera to obtain a sequence of images each including microimages captured by respective microlenses; for determining in each of the images a set of diffused microimages in which an optical communication light source is diffused over each of the microimages of the set; and for decoding optically communicated information from the set.
Abstract:
In accordance with an example embodiment a method, apparatus and computer program product are provided. The method comprises determining a plurality of first pixels having resemblance with a second pixel associated with an image based on a depth information of the image. The method further comprises replacing the second pixel by at least one first pixel of the plurality of first pixels based on a determination that the at least one first pixel is not associated with the at least one image defect.
Abstract:
In an example embodiment, a method, apparatus and computer program product are provided. The method includes computing a first cost volume for a light-field image. A first depth map comprising depth information of the plurality of sub-images of the light-field image is computed based on the first cost volume. A first view image comprising reconstruction information is reconstructed based on the depth information of the plurality of sub-images. A second cost volume corresponding to the first cost volume is computed based on the reconstruction information. The second cost volume is filtered based on the first view image to generate an aggregated cost volume. A second depth map is generated based on the aggregated cost volume. The second depth map facilitates generation of a second view image that is associated with a resolution higher than a resolution of the first view image.
Abstract:
In accordance with an example embodiment a method, apparatus and computer program product are provided. The method comprises filtering incident light by an IR cut-off filter to generate filtered light. The IR cut-off filter comprises a plurality of pixels with pass-band characteristics for visible light wavelengths and is configured to perform stop-band attenuation of near infrared (NIR) wavelengths. The stop-band attenuation is configured to vary based on spatial location of pixels within the IR cut-off filter. The filtered light received from the IR cut-off filter is sensed by the image sensor to generate sensed light. A baseband signal and a modulated NIR signal are determined by performing transformation of the sensed light. A NIR spectrum associated with the incident light is determined by demodulating the modulated NIR signal. A visible spectrum associated with the incident light is determined based on the NIR spectrum and the baseband signal.
Abstract:
In accordance with an example embodiment a method, apparatus and computer program product are provided. The method comprises determining a plurality of first pixels having resemblance with a second pixel associated with an image based on a depth information of the image. The method further comprises replacing the second pixel by at least one first pixel of the plurality of first pixels based on a determination that the at least one first pixel is not associated with the at least one image defect.