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: The present invention relates to an apparatus (10) for determining cellular composition in one or more tissue sample microscopic images. It is described to provide (210) first image data of at least one tissue sample. The first image data relates to a non-specific staining of a tissue sample of the at least one tissue sample. Second image data of the at least one tissue sample is provided (220). The second image data relates to specific staining of a tissue sample of the at least one tissue sample. Either (i) the tissue sample that has undergone specific staining is the same as the tissue sample that has undergone non-specific staining, or (ii) the tissue sample that has undergone specific staining is different to the tissue sample that has undergone non-specific staining. A non-specific cellular composition cell density map is determined (230) on the basis of the first image data. A specific cellular composition cell density map is determined (240) on the basis of the second image data.

Abstract: There is provided a method and apparatus for modifying a contour comprising a sequence of points positioned on an image. A position of a movable indicator on the image relative to one or more points of the sequence is detected (202). The movable indicator is movable by a user. At least one point is removed from the contour, at least one point is added to the contour, or at least one point is removed from the contour and at least one point is added to the contour based on a distance of the detected position of the movable indicator on the image from the one or more points (204).

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: The present invention relates to an apparatus (10) for tubulus detection from a tissue biopsy. It is described to provide (210) a plurality of 2D images of a tissue biopsy, wherein each 2D image corresponds to a different depth position in the tissue biopsy, and wherein each 2D image comprises image data of the tissue biopsy. A measure of a local variation of intensity is determined (220) in the image data of the tissue biopsy in a region of at least one 2D image. At least part of a tubulus is located (230) in the region of the at least one 2D image on the basis of the determined measure of the local variation of intensity. The locating (230) involves determining (240) locations in the region of the at least one 2D image where the measure of the local variation in intensity is below a threshold. Data representative of the location of the at least part of the tubulus in the region of the at least one 2D image are output (250).

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.

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 for reducing the visibility of disparity estimation errors at edges, and in particular at overlays. The apparatus comprises a receiver (401) for receiving a three dimensional image represented by at least image values (brightness/contrast values) and a disparity value. A subset selector (403) evaluates an image property criterion for the image value for a group of pixels and determines a subset of pixels of the group of pixels for which the image property criterion is met. The criterion may for example reflect whether the pixel belongs to an image object edge. A distribution evaluator (405) generates a frequency distribution for disparity values of the subset of pixels and an analyzer (407) determines a shape property for the frequency distribution (the presence of a peak). An adaptor (409) determining a disparity remapping in response to the shape property and a remapper (411) modifies disparity values of the three dimensional image by applying the disparity remapping. The approach may e.g.

Abstract: A method of encoding a video data signal (15) is provided, together with a method for decoding. The encoding comprises providing color information (51) for pixels in an image, providing a depth map with depth information (52) for the pixels, providing transition information (56, 57, 60, 70, 71) being representative of a width (63, 73) of a transition region (61, 72) in the image, the transition region (61, 72) comprising a depth transition (62) and blended pixels in which colors of a foreground object and a background object are blended, and generating (24) the video data signal (15) comprising encoded data representing the color information (51), the depth map (52) and the transition information (56, 57, 60, 70, 71). The decoding comprises using the transition information (56, 57, 60, 70, 71) for determining the width (63, 73) of the transition regions (61, 72) and for determining alpha values (53) for pixels inside the transition regions (61, 72).

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 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 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.

Abstract: A method of encoding a video data signal (15) is provided, together with a method for decoding. The encoding comprises providing color information (51) for pixels in an image, providing a depth map with depth information (52) for the pixels, providing transition information (56, 57, 60, 70, 71) being representative of a width (63, 73) of a transition region (61, 72) in the image, the transition region (61, 72) comprising a depth transition (62) and blended pixels in which colors of a foreground object and a background object are blended, and generating (24) the video data signal (15) comprising encoded data representing the color information (51), the depth map (52) and the transition information (56, 57, 60, 70, 71). The decoding comprises using the transition information (56, 57, 60, 70, 71) for determining the width (63, 73) of the transition regions (61, 72) and for determining alpha values (53) for pixels inside the transition regions (61, 72).

Abstract: According to an aspect of the invention, a client-server-system is provided. The client and the server are provided with the same digital image of a slice of a biological material, which has been applied with a staining substance. Usually, the server comprises a large processing power. Accordingly, the server is used for pre-processing the digital image and provides results of the pre-processing to the client in turn of a request. The server comprises a server processing unit, which is configured to classify each pixel of the digital image, wherein the pixel is classified as stained, in case a color-property of the pixel characterizes a spot corresponding to the pixel at the slice as being stained with the staining substance, whereas the slice has absorbed the staining substance at the respective spot. Thus, all pixels of the digital image are classified. A sub-set of all pixels is classified as being stained. The remaining pixels may be classified undefined, unstained or stained with a different substance.

Abstract: An apparatus for determining a depth map for an image comprises an image unit (105) which provides an image with an associated depth map comprising depth values for at least some pixels of the image. A probability unit (107) determines a probability map for the image comprising probability values indicative of a probability that pixels belong to a text image object. A depth unit (109) generates a modified depth map where the modified depth values are determined as weighted combinations of the input values and a text image object depth value corresponding to a preferred depth for text. The weighting is dependent on the probability value for the pixels. The approach provides a softer depth modification for text objects resulting in reduced artefacts and degradations e.g. when performing view shifting using depth maps.

Abstract: A new method of encoding multiple view image information into an image signal including adding to the image signal a first image of pixel values representing one or more objects captured by a first camera; adding to the image signal a map comprising for respective sets of pixels of the first image respective values, representing a three-dimensional position in space of a region of the one or more objects represented by the respective set of pixels, and adding to the image signal a partial representation of a second image of pixel values representing one or more objects captured by a second camera, the partial representation including at least information of the majority of the pixels representing regions of the one or more objects not visible to the first camera.

Abstract: A combination of image data and depth data is supplied defining luminance and/or color for image positions in an image and distance to objects visible at said image positions respectively. The image data and the depth data are compressed by a compressor (120) and decompressed by a decompressor (16). The depth data is dilated before said compressing, to move an edge between a region of image positions with a relatively smaller distance and a region of image positions with a relatively greater distance towards the region of image positions with a relatively greater distance.

Abstract: An apparatus for reducing the visibility of disparity estimation errors at edges, and in particular at overlays. The apparatus comprises a receiver (401) for receiving a three dimensional image represented by at least image values (brightness/contrast values) and a disparity value. A subset selector (403) evaluates an image property criterion for the image value for a group of pixels and determines a subset of pixels of the group of pixels for which the image property criterion is met. The criterion may for example reflect whether the pixel belongs to an image object edge. A distribution evaluator (405) generates a frequency distribution for disparity values of the subset of pixels and an analyzer (407) determines a shape property for the frequency distribution (the presence of a peak). An adaptor (409) determining a disparity remapping in response to the shape property and a remapper (411) modifies disparity values of the three dimensional image by applying the disparity remapping. The approach may e.g.