Abstract: In a method, unit and display device, the input image signal is split into a regional contrast signal and a detail signal, followed by stretching separately the dynamic ranges for at least one of the signals. The dynamic range for the regional contrast signal is stretched with a higher stretch ratio than the dynamic range for the detail signal. The stretch ratio for the detail signal may be near 1 or 1. Further, highlights are identified, and for the highlights the dynamic range is stretched to an even higher degree than for the regional contrast signal.

Abstract: A system for determining a distance to an object comprises an image capture device (101) which has a coded aperture and an image sensor which is positioned out of a focus plane of the coded aperture. A receiver (103) receives an image of a scene from the image sensor and a detector (105) detects at least two image objects of the image corresponding to ghost images of the object resulting from different openings of the coded aperture in response to an optical characteristic of the object. A distance estimator (107) then determines a distance to the object in response to a displacement in the image of the at least two image objects. The distance may be to a person and the image may be a bright pupil image wherein pupils are enhanced by reflection of light by the retina. The image may be compensated by a dark pupil image of the scene.

Abstract: The invention relates to a detection system for determining whether a light contribution of a light source is present at a selected position within a 2D scene. The light contribution includes an embedded code comprising a repeating sequence of N symbols. The detection system includes a camera and a processing unit. The camera is configured to acquire a series of images of the scene via specific open/closure patterns of the shutter. Each image includes a plurality of pixels, each pixel representing an intensity of the light output of the light source at a different physical position within the scene. The processing unit is configured to process the acquired series of images to determine whether the light contribution of the first light source is present at the selected physical position within the scene by e.g. correlating a sequence of pixels of the acquired series corresponding to the selected physical position with the first sequence of N symbols.

Abstract: There is disclosed a sensing device (100) adapted to receive light emitted from a plurality of light sources (A, B), each of the plurality of light sources (A, B) emitting light comprising a light source identifier. The sensing device (100) comprises a sensing module (110) comprising a light selection unit (114) configured to receive at least a portion of the light emitted from the plurality of light sources (A, B) and a light selection unit (114) configured to receive at least a portion of the light emitted from the plurality of light sources (A, B). The light selection unit (114) is adapted to selectively convey a selected portion of light received by the light selection unit (114) to a second photo sensor unit (116). The light selection unit (114) is arranged relatively to the first photo sensor unit (112), or vice versa, in such a way that the selected portion of light is associated with a photo sensor of a plurality of photo sensors of the first photo sensor unit (114) detecting light.

Abstract: In a method, unit and display device, the input image signal is split into a regional contrast signal and a detail signal, followed by stretching separately the dynamic ranges for at least one of the signals. The dynamic range for the regional contrast signal is stretched with a higher stretch ratio than the dynamic range for the detail signal. The stretch ratio for the detail signal may be near 1 or 1.

Abstract: The method of analyzing a difference of at least two gradings of an image on the basis of: obtaining a first graded picture (LDR) with a first luminance dynamic range; obtaining data encoding a grading of a second graded picture (HDR) with a second luminance dynamic range, different from the first luminance dynamic range; determining a grading difference data structure (DATGRAD) on the basis of at least the data encoding the grading of the second graded picture (HDR), allows more intelligently adaptive encoding of the imaged scenes, and consequently also better use of those pictures, such as higher quality rendering under various rendering scenarios.

Abstract: In a method, unit and display device the input image signal is split into a regional contrast signal (VRC) and a detail signal (VD), followed by stretching separately the dynamic ranges for both signals, wherein the dynamic range for the regional contrast signal is stretched with a higher stretch ratio than the dynamic range for the detail signal. Preferably the stretch ratio for the detail signal is near 1 or preferably 1. In preferred embodiment highlights are identified and for the highlights the dynamic range is stretched to an even higher degree than for the regional contrast signal.

Abstract: A camera and system comprising a camera in which, during exposure, the ratio of the distance between the lens and the sensor and the focal length is changed. The rate of change is set such that motion invariant imaging is achievable for practical speed ranges, i.e. speed of up to at least 5 km/hour at 2 meter distance of the lens, by deconvoluting the compound image. Preferably the achievable speed range is at least twice as high. A linear motion of the sensor is preferred.

Abstract: An approach is provided for generating a depth indication map from an image. The generation is performed using a mapping relating input data in the form of input sets of image spatial positions and a combination of color coordinates of pixel values associated with the image spatial positions to output data in the form of depth indication values. The mapping is generated from a reference image and a corresponding reference depth indication map. Thus, a mapping from the image to a depth indication map is generated on the basis of corresponding reference images. The approach may be used for prediction of depth indication maps from images in an encoder and decoder. In particular, it may be used to generate predictions for a depth indication map allowing a residual image to be generated and used to provide improved encoding of depth indication maps.

Abstract: An approach is provided for generating a high dynamic range image from a low dynamic range image. The generation is performed using a mapping relating input data in the form of input sets of image spatial positions and a combination of color coordinates of low dynamic range pixel values associated with the image spatial positions to output data in the form of high dynamic range pixel values. The mapping is generated from a reference low dynamic range image and a corresponding reference high dynamic range image. Thus, a mapping from the low dynamic range image to a high dynamic range image is generated on the basis of corresponding reference images. The approach may be used for prediction of high dynamic range images from low dynamic range images in an encoder and decoder. A residual image may be generated and used to provide improved high dynamic range image quality.

Abstract: Several approaches are disclosed for combining HDR and 3D image structure analysis and coding, in particular an encoding apparatus for encoding a first view high dynamic range image and a second view high dynamic range image comprising: first and second HDR image receivers (203, 1201) arranged to receive the first view high dynamic range image and a second view high dynamic range image; a predictor (209) arranged to predict the first view high dynamic range image from a low dynamic range representation of the first view high dynamic range image; and a view predictor (1203) to predict the second view high dynamic range image from at least one of the first view high dynamic range image, a low dynamic range representation of the second view high dynamic range image, or a low dynamic range representation of the first view high dynamic range image.

Abstract: A method of gamut mapping maps an input image composed of pixels and having an input gamut (IG) defined by input RGB primaries (Ri, Gi, Bi) to a reproduction gamut (RG) defined by reproduction RGB primaries (Ro, Go, Bo). The reproduction gamut (RG) is narrower than the input gamut (IG). An input signal (RGBin) defined with respect to the input RGB primaries (Ri, Gi, Bi) is color transformed (1) into a transformed signal (RGBt) defined with respect to the reproduction RGB primaries (Ro, Go, Bo), whereby color information of the pixels (P1, P2, P3) within the reproduction gamut (RG) is preserved. Scaling factors (SFi) indicating a distance between on the one hand pixels (P1, P2, P3) of the transformed signal (RGBt) which are outside the reproduction gamut (RG), and on the other hand an edge of the reproduction gamut (RG) are determined (2).

Abstract: The invention relates to a detection system for determining whether a light contribution of a light source is present at a selected position within a 2D scene. The light contribution includes an embedded code comprising a repeating sequence of N symbols. The detection system includes a camera and a processing unit. The camera is configured to acquire a series of images of the scene via specific open/closure patterns of the shutter. Each image includes a plurality of pixels, each pixel representing an intensity of the light output of the light source at a different physical position within the scene. The processing unit is configured to process the acquired series of images to determine whether the light contribution of the first light source is present at the selected physical position within the scene by e.g. correlating a sequence of pixels of the acquired series corresponding to the selected physical position with the first sequence of N symbols.

Abstract: A display control system (11) comprises an input (12) for receiving an image to be displayed by means of a backlight (2) and a transmissive panel (3). A backlight controller (5) provides different colors or luminances for causing the backlight (2) to sequentially apply the different colors or luminances to the transmissive panel (3) in time-sequential sub-fields of the image. A transmissive panel controller (6) provides transmittivities for causing the transmissive panel (3) to sequentially apply the transmittivities to the transmissive panel in the time-sequential sub-fields of the image for displaying the image. The transmissive panel controller (6) selects a transmittivity based on a predetermined amount of off-axis gamma distortion of the transmissive panel.

Abstract: An apparatus for enhancing at least a region of an input picture having input pixel values enabling a reduction of quantization banding artifacts including an estimation unit arranged to estimate a quantization precision of at least the region of the input picture, a pattern analysis unit arranged to determine positions in the input picture of changes in input pixel value of less than or equal to the quantization precision, and to output analysis information representing the positions, and an adaptive filter, arranged to calculate an output picture corresponding to at least the region of the input picture, comprising output pixels being determined on the basis of adaptive combinations of input pixels, and arranged to determine the adaptive combinations in dependence on the analysis information.

Abstract: A system (600) for performing gamut compression or gamut extension by transforming an input color (608) of an input image defined within a first gamut (102) into a reproduction color (610) of an output image for rendering by a reproduction device capable of rendering colors within a second gamut (104) different from the first gamut. The input color has an input chromaticity (C1) and an input lightness (Z-*) together forming an input point (202) in a chromaticity-lightness plane. The reproduction color has a reproduction point (210) in the chromaticity-lightness plane, wherein an absolute difference between the input lightness and the output lightness is a decreasing function of at least the chromaticity. An absolute difference between the input chromaticity and the output chromaticity is an increasing function of at least the chromaticity.

Abstract: A multi-spectral camera comprises a blocking element (201) having at least one hole (203) allowing light through. A dispersive element (205) spreads light from the at least one hole (203) in different wavelength dependent directions and a lens (207) focuses light from the dispersive element (205) on an image plane (209). A microlens array (211) receives light from the lens (207) and an image sensor (213) receives the light from the microlens array (211) and generates a pixel value signal which comprises incident light values for the pixels of the image sensor (213). A processor then generates a multi-spectral image from the pixel value signal. The approach may allow a single instantaneous sensor measurement to provide a multi-spectral image comprising at least one spatial dimension and one spectral dimension. The multi-spectral image may be generated by post-processing of the sensor output and no physical filtering or moving parts are necessary.

Abstract: A camera and system comprising a camera in which, during exposure, the ratio of the distance between the lens and the sensor and the focal length is changed. The rate of change is set such that motion invariant imaging is achievable for practical speed ranges, i.e. speed of up to at least 5 km/hour at 2 meter distance of the lens, by deconvoluting the compound image. Preferably the achievable speed range is at least twice as high. A linear motion of the sensor is preferred.

Abstract: A multi-primary conversion (5) of input drive values (RGB) defines a color of a pixel (PI) of a multi-primary display(DP) in an M dimensional color space (XYZ) into N>M output drive values (di) in an N dimensional drive space. The N output drive values (di) drive N sub-pixels (SPi) of the pixel (PI). The color of the pixel (PI) in the color space (XYZ) is defined by linear combinations of N color primaries of the respective N sub-pixels (SPi).

Abstract: In a method, unit and display device the input image signal is split into a regional contrast signal (VRC) and a detail signal (VD), followed by stretching separately the dynamic ranges for both signals, wherein the dynamic range for the regional contrast signal is stretched with a higher stretch ratio than the dynamic range for the detail signal. Preferably the stretch ratio for the detail signal is near 1 or preferably 1. In preferred embodiment highlights are identified and for the highlights the dynamic range is stretched to an even higher degree than for the regional contrast signal.