Abstract: An image processing device comprising a processor configured to generate a refocused image from an input image and an map indicating depth information for the image, by the steps of: for each of a plurality of planes associated with respective depths within the image: generating a depth mask having values indicating whether regions of the input image are within a specified range of the plane, wherein an assessment of whether a region is within the specified range of the plane is made through the evaluation of a differentiable function of the range between regions of the input image and the plane as determined from the map; generating a masked image from the input image and the generated depth mask; refocusing the masked image using a blurring kernel to generate a refocused partial image; and generating the refocussed image from the plurality of refocussed partial images.

Abstract: An apparatus and method for processing a light field comprising a plurality of views of a 3D scene includes obtaining a super-ray representation for the light field, wherein the super-ray representation comprises a plurality of super-rays, wherein each super-ray groups pixels corresponding to a set of light rays having a similar color from each of the plurality of views, and wherein the set of light rays for each super-ray originates from one area of the 3D scene; and processing the light field by processing the super-ray representation for the light field, wherein processing the light field comprises at least one of editing the light field, segmenting the light field, and refocusing the light field.

Abstract: The present disclosure concerns a method for processing a light field image comprising a set of image views.

Abstract: An image processing system configured to receive an input time-of-flight depth map representing the distance of objects in an image from a camera at a plurality of locations of pixels in the respective image, and in dependence on that map to generate an improved time-of-flight depth map for the image, the input time-of-flight depth map having been generated from at least one correlation image representing the overlap between emitted and reflected light signals at the plurality of locations of pixels at a given phase shift, the system being configured to generate the improved time-of-flight depth map from the input time-of-flight depth map in dependence on a colour representation of the respective image and at least one correlation image.

Abstract: A method is proposed for estimating a depth for pixels in a matrix of M images. Such method comprises, at least for one set of N images among the M images, 2<N?M, a process comprising: —determining depth maps for the images in the set of N images delivering a set of N depth maps; —for at least one current pixel for which a depth has not yet been estimated: —deciding if a candidate depth corresponding to a depth value in the set of N depth maps is consistent or not with the other depth map(s) of the set of N depth maps; —selecting the candidate depth as being the estimated depth for the current pixel if the candidate depth is decided as consistent. The process is enforced iteratively with a new N value which is lower than the previous N value used in the previous iteration of the process.

Abstract: An image processing device comprising a processor configured to generate a refocused image from an input image and an map indicating depth information for the image, by the steps of: for each of a plurality of planes associated with respective depths within the image: generating a depth mask having values indicating whether regions of the input image are within a specified range of the plane, wherein an assessment of whether a region is within the specified range of the plane is made through the evaluation of a differentiable function of the range between regions of the input image and the plane as determined from the map; generating a masked image from the input image and the generated depth mask; refocusing the masked image using a blurring kernel to generate a refocused partial image; and generating the refocussed image from the plurality of refocussed partial images.

Abstract: A method and device for processing a light field video is described. The light field video includes a set of image views per unit of time, the light field video being associated with a scene without cuts. In the method a first super-rays representation of reference image views at a given time is determined based on centroids. A second super-rays representation associated with corresponding views of a subsequent set of image views is next determined based on de-projection and re-projection of centroids. The displacement of centroids between the first and second super-rays is determined and then the determined displacement is applied to centroids of the second super-rays representation.

Abstract: A method is proposed for estimating a depth for pixels in a matrix of M images. Such method comprises, at least for one set of N images among the M images, 2?N?M, a process comprising: —determining depth maps for the images in the set of N images delivering a set of N depth maps; —for at least one current pixel for which a depth has not yet been estimated: —deciding if a candidate depth corresponding to a depth value in the set of N depth maps is consistent or not with the other depth map(s) of the set of N depth maps; —selecting the candidate depth as being the estimated depth for the current pixel if the candidate depth is decided as consistent. The process is enforced iteratively with a new N value which is lower than the previous N value used in the previous iteration of the process.

Abstract: The present disclosure concerns a method for processing a light field image comprising a set of image views.

Abstract: The present disclosure concerns a method for processing a light field image comprising a set of image views.

Abstract: A method for rendering an image, called a final image, from at least one image acquired by a camera array, is provided. According to such a method, the determination of a color value for at least one pixel of the final image, called a current pixel, comprises: for at least one initial image acquired by the camera array, obtaining a color value of a pixel associated with said current pixel within said at least one initial image, acquiring at least one color value called a real color value; computing at least one interpolated color value, from said at least one real color value; determining the color value for said current pixel, as a function of said at least one real color value and said at least one interpolated color value.

Abstract: A method and device for processing a light field video is described. The light field video includes a set of image views per unit of time, the light field video being associated with a scene without cuts. In the method a first super-rays representation of reference image views at a given time is determined based on centroids. A second super-rays representation associated with corresponding views of a subsequent set of image views is next determined based on de-projection and re-projection of centroids. The displacement of centroids between the first and second super-rays is determined and then the determined displacement is applied to centroids of the second super-rays representation.

Abstract: Selecting at least one surface in a light field, such as a light field associated with multiple views corresponding to different view points of a same scene, may include displaying one of the multiple views as a reference view, selecting at least one surface in the reference view, identifying a set of pixels belonging to the selected surface, which are occluded in the reference view but visible in at least one of the multiple views, projecting the set of pixels into the reference view on the basis of a value of the pixels of the set in the view or views in which they are visible in order to form an upgraded reference view, displaying the upgraded reference view, and updating the selected surface in the upgraded reference view.

Abstract: The present disclosure concerns a method for processing a light field image comprising a set of image views.

Abstract: A method for rendering an image, called a final image, from at least one image acquired by a camera array, is provided. According to such a method, the determination of a color value for at least one pixel of the final image, called a current pixel, comprises: for at least one initial image acquired by the camera array, obtaining a color value of a pixel associated with said current pixel within said at least one initial image, acquiring at least one color value called a real color value; computing at least one interpolated color value, from said at least one real color value; determining the color value for said current pixel, as a function of said at least one real color value and said at least one interpolated color value.

Abstract: Selecting at least one surface in a light field, such as a light field associated with multiple views corresponding to different view points of a same scene, may include displaying one of the multiple views as a reference view, selecting at least one surface in the reference view, identifying a set of pixels belonging to the selected surface, which are occluded in the reference view but visible in at least one of the multiple views, projecting the set of pixels into the reference view on the basis of a value of the pixels of the set in the view or views in which they are visible in order to form an upgraded reference view, displaying the upgraded reference view, and updating the selected surface in the upgraded reference view.

Abstract: The disclosure concerns a user interface for manipulating light-field images. Light-field data provides depth information alongside the images themselves, such that conventional post-processing tools are not adapted to the post-processing of light-field data. Furthermore, the manipulation of light-field images may not be easy and intuitive for non-professional users. The disclosure enables a user to manipulate light-field images in a user-friendly way. Indeed, in this solution, a user only has to select regions of the light-field image to be rendered in-focus, and select a bokeh to be applied to out-of-focus regions of the light-field image as inputs for a post-processing tool. Once the light-field image post-processing tool has processed the light-field image, a final post-processed light-field image is rendered which corresponds to the specifications of the user.

Abstract: A method for obtaining a refocused image from 4D raw light field data for a given focus plane value g is described. The method is executed by an electronic device and is remarkable in that it comprises determining at least one pixel value, for at least one color component, of the refocused image at coordinates (k, l)?N2. The at least one projected pixel value with coordinates comprised in a neighborhood of said coordinates (k, l), for the at least one color component is determined, weighted and updated.

Abstract: Method and device adapted for the processing of lightfield data representative of a scene, said lightfield data comprising a plurality of elements, 4-dimensional coordinates being associated with each element. Following operations are performed: associating a ray with each element, the ray being obtained from the 4-dimensional coordinates associated with each element; determining a depth information for each element; determining an origin of each ray in the scene according to the depth information; grouping rays having a same origin in the scene to form a plurality of groups; processing the lightfield data according to the plurality of groups.

Abstract: Method and device adapted for the processing of lightfield data representative of a scene, said lightfield data comprising a plurality of elements, 4-dimensional coordinates being associated with each element. Following operations are performed: associating a ray with each element, the ray being obtained from the 4-dimensional coordinates associated with each element; determining a depth information for each element; determining an origin of each ray in the scene according to the depth information; grouping rays having a same origin in the scene to form a plurality of groups; processing the lightfield data according to the plurality of groups.