Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: An apparatus comprises a store (209) storing a set of anchor poses for a scene, as well as typically 3D image data for the scene. A receiver (201) receives viewer poses for a viewer and a render pose processor (203) determines a render pose in the scene for a current viewer pose of the viewer pose where the render pose is determined relative to a reference anchor pose. A retriever (207) retrieves 3D image data for the reference anchor pose and a synthesizer (205) synthesizes images for the render pose in response to the 3D image data. A selector selects the reference anchor pose from the set of anchor poses and is arranged to switch the reference anchor pose from a first anchor pose of the set of anchor poses to a second anchor pose of the set of anchor poses in response to the viewer poses.

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: An apparatus comprises a receiver (201) for receiving an image signal comprising a number of three dimensional images representing a scene from different viewpoints, each three dimensional image comprising a mesh and a texture map, the signal further comprising a plurality of residual data texture maps for a first viewpoint being different from the different viewpoints of the number of three dimensional images, a first residual data texture map of the plurality of residual texture maps providing residual data for a texture map for the first viewpoint relative to a texture map resulting from a viewpoint shift of a first reference texture map being a texture map of a first three dimensional image of the number of three dimensional images and a second residual data texture map of the plurality of residual texture maps providing residual data for a texture map for the first viewpoint relative to a texture map resulting from a viewpoint shift of a second reference texture map being a texture map of a second three

Abstract: An apparatus comprises a store (201) storing a set of image parts and associated depth data for images representing a scene from different view poses (position and orientation). A predictability processor (203) generates predictability measures for image parts of the set of images for view poses of the scene. A predictability measure for a first image part for a first view pose is indicative of an estimate of the prediction quality for a prediction of at least part of an image for a viewport of the first view pose from a subset of image parts of the set of image parts not including the first image part. A selector (205) selects a subset of image parts of the set of image parts in response to the predictability measures, and a bitstream generator (207) for generating the image bitstream comprising image data and depth data from the subset of image parts.

Abstract: An apparatus comprises a store (209) storing a set of anchor poses for a scene, as well as typically 3D image data for the scene. A receiver (201) receives viewer poses for a viewer and a render pose processor (203) determines a render pose in the scene for a current viewer pose of the viewer pose where the render pose is determined relative to a reference anchor pose. A retriever (207) retrieves 3D image data for the reference anchor pose and a synthesizer (205) synthesizes images for the render pose in response to the 3D image data. A selector selects the reference anchor pose from the set of anchor poses and is arranged to switch the reference anchor pose from a first anchor pose of the set of anchor poses to a second anchor pose of the set of anchor poses in response to the viewer poses.

Abstract: An apparatus comprises a store (201) storing images corresponding to different positions and viewing directions for a scene, and associated position parameter vectors for the images where the vector for an image comprises data indicative of a viewing position and a viewing direction. A receiver (205) receives a viewing position parameter vector from a remote client (101). A selector (207) selects a set of images in response to a comparison of the viewing position parameter vector and the associated position parameter vectors. An image synthesizer (209) generates an image from the set of images. A data generator (215) generates a reference position parameter vector for the synthesized image indicating a viewing position and direction for the synthesized image. An image encoder (211) encodes the synthesized image and an output generator (213) generates an output image signal comprising the encoded synthesized image and the reference position parameter vector.

Abstract: An apparatus comprises a receiver (201) for receiving an image signal comprising a number of three dimensional images representing a scene from different viewpoints, each three dimensional image comprising a mesh and a texture map, the signal further comprising a plurality of residual data texture maps for a first viewpoint being different from the different viewpoints of the number of three dimensional images, a first residual data texture map of the plurality of residual texture maps providing residual data for a texture map for the first viewpoint relative to a texture map resulting from a viewpoint shift of a first reference texture map being a texture map of a first three dimensional image of the number of three dimensional images and a second residual data texture map of the plurality of residual texture maps providing residual data for a texture map for the first viewpoint relative to a texture map resulting from a viewpoint shift of a second reference texture map being a texture map of a second three

Abstract: An apparatus comprises receiver (101) receiving a light intensity image, confidence map, and image property map. A filter unit (103) is arranged to filter the image property map in response to the light intensity image and the confidence map. Specifically, for a first position, the filter unit (103) determines a combined neighborhood image property value in response to a weighted combination of neighborhood image property values in a neighborhood around the first position, the weight for a first neighborhood image property value at a second position being dependent on a confidence value for the first neighborhood image property value and a difference between light intensity values for the first position and for the second position; and determines a first filtered image property value for the first position as a combination of a first image property value at the first position in the image property map and the combined neighbor image property value.

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: An apparatus comprises a store (201) storing a set of image parts and associated depth data for images representing a scene from different view poses (position and orientation). A predictability processor (203) generates predictability measures for image parts of the set of images for view poses of the scene. A predictability measure for a first image part for a first view pose is indicative of an estimate of the prediction quality for a prediction of at least part of an image for a viewport of the first view pose from a subset of image parts of the set of image parts not including the first image part. A selector (205) selects a subset of image parts of the set of image parts in response to the predictability measures, and a bitstream generator (207) for generating the image bitstream comprising image data and depth data from the subset of image parts.

Abstract: To enable a high quality HDR video communication, which can work by sending corresponding LDR images potentially via established LDR video communication technologies, which works well in practical situations, applicant has invented a HDR video decoder (600, 1100) arranged to calculate a HDR image (Im_RHDR) based on applying to a received 100 nit standard dynamic range image (Im_RLDR) a set of luminance 5 transformation functions, the functions comprising at least a coarse luminance mapping (FC), which is applied by a dynamic range optimizer (603), and a mapping of the darkest value (0) of an intermediate luma (Y?HPS), being output of the dynamic range optimizer, to a received black offset value (Bk_off) by a range stretcher (604), the video decoder comprising a gain limiter (611, 1105) arranged to apply an alternate luminance transformation function to 10 calculate a subset (502) of the darkest luminances of the HDR image, from corresponding darkest lumas (Y?_in) of the standard dynamic range image.

Abstract: An apparatus for determining a depth map for an image of a scene comprises an active depth sensor (103) and a passive depth sensor (105) for determining a depth map for the image. The apparatus further comprises a light determiner (109) which determines a light indication indicative of a light characteristic for the scene. The light indication may specifically reflect a level of visible and/or infrared light for the scene. A depth map processor (107) determines an output depth map for the image by combining the first depth map and the second depth map. Specifically, a depth value for the output depth map is determined as a combination of depth values of the first and the second depth map where the combining is dependent on the light indication. The light determiner (109) estimates the first infrared light indication from a visible light indication indicative of a light level in a frequency band of the visible light spectrum.

Abstract: An apparatus is arranged to generate a triangle mesh for a three dimensional image. The apparatus includes a depth map source (101) which provides a depth map and a tree generator (105) generates a k-D tree from the depth map. The k-D tree representing a hierarchical arrangement of regions of the depth map satisfying a requirement that a depth variation measure for undivided regions is below a threshold. A triangle mesh generator (107) positions an internal vertex within each region of the k-D tree. The triangle mesh is then generated by forming sides of triangles of the triangle mesh as lines between internal vertices of neighboring regions. The approach may generate an improved triangle mesh that is suitable for many 3D video processing algorithms.

Abstract: An apparatus comprises receiver (101) receiving a light intensity image, confidence map, and image property map. A filter unit (103) is arranged to filter the image property map in response to the light intensity image and the confidence map. Specifically, for a first position, the filter unit (103) determines a combined neighborhood image property value in response to a weighted combination of neighborhood image property values in a neighborhood around the first position, the weight for a first neighborhood image property value at a second position being dependent on a confidence value for the first neighborhood image property value and a difference between light intensity values for the first position and for the second position; and determines a first filtered image property value for the first position as a combination of a first image property value at the first position in the image property map and the combined neighbor image property value.

Abstract: An apparatus comprises a depth map source (109) providing a depth map for an image and a confidence map source (111) providing a confidence map with confidence values for pixels of the depth map. The confidence values designate the pixels as confident or non-confident pixels reflecting whether the depth value meets a reliability criterion or not. A depth modifier (113) performs a depth modification operation which modifies depth values for pixels of the depth map. A modified depth value for a first pixel is determined as a current depth value for the first pixel if this is designated as a confident pixel or if there are no confident pixels within a neighborhood set of pixels, and otherwise the modified value is determined as the maximum of the current depth value and a depth value determined as a function of depth values of pixels within the neighborhood set being designated as confident pixels.

Abstract: An apparatus comprises a store (201) storing images corresponding to different positions and viewing directions for a scene, and associated position parameter vectors for the images where the vector for an image comprises data indicative of a viewing position and a viewing direction. A receiver (205) receives a viewing position parameter vector from a remote client (101). A selector (207) selects a set of images in response to a comparison of the viewing position parameter vector and the associated position parameter vectors. An image synthesizer (209) generates an image from the set of images. A data generator (215) generates a reference position parameter vector for the synthesized image indicating a viewing position and direction for the synthesized image. An image encoder (211) encodes the synthesized image and an output generator (213) generates an output image signal comprising the encoded synthesized image and the reference position parameter vector.

Abstract: An autostereoscopic 3D display comprises a first unit (503) for generating an intermediate 3D image. The intermediate 3D image comprises a plurality of regions and the first unit (503) is arranged to generate a first number of image blocks of pixel values corresponding to different view directions for the region regions. The number of image blocks is different for some regions of the plurality of regions. A second unit (505) generates an output 3D image comprising a number of view images from the intermediate 3D image, where each of the view images correspond to a view direction. The display further comprises a display arrangement (301) and a driver (507) for driving the display arrangement (301) to display the output 3D image. An adaptor (509) is arranged to adapt the number of image blocks for a first region in response to a property of the intermediate 3D image or a representation of a three dimensional scene from which the first image generating unit (503) is arranged to generate the intermediate image.

Abstract: An apparatus receives an image and an associated depth map comprising input depth values. A contour detector (405) detects contours in the image. A model processor (407) generates a contour depth model for a contour by fitting a depth model to input depth values for the contour. A depth value determiner (409) determines a depth model depth value for at least a one pixel of the contour from the contour depth model. The depth model may e.g. correspond to a single depth value which e.g. may be set to a maximum input depth value. A modifier (411) generates a modified depth map from the associated depth map by modifying depth values of the associated depth map. This includes generating a modified depth value for a pixel in the modified depth map in response to the depth model depth value. The depth model depth value may e.g. replace the input depth value for the pixel.