Abstract: An aspect of present principles is directed to methods, apparatus, systems and computer readable media for image processing. The image processing may include receiving a standard dynamic range (SDR) image or a receiver for receiving a standard dynamic range (SDR) image. It may further include determining an over-exposed region of the SDR image and determining a corrected luminance value for at least a pixel of the over-exposed region, or a processor configured to determine an over-exposed region of the SDR image and a corrected luminance value for at least a pixel of the over-exposed region. The corrected luminance value is determined based on at least one of a shape of the over-exposed region, luminance information of pixels surrounding the over-exposed region, and edge information of the pixels surrounding the over-exposed region. The over-exposed region may be an irregularly shaped region.

Abstract: For the mapping in a non-linear color space of source colors belonging to a same constant-hue leaf, instead of using a lightness mapping function based only on a cusp lightness condition stating that a source cusp color of this leaf should be mapped into a corresponding target cusp color of this leaf, it is proposed to build such a function also on other source cusp color(s) and other target cusp color(s) having hues different from that of said leaf. Preferably, the hue interval in which these other colors are considered is representative of the curvature of the non-linear color space at the position of colors of this constant-hue leaf.

Abstract: The present invention proposes to provide methods, apparatus and systems for inverse tone mapping of a high dynamic range image. The method may include the operations of obtaining a luminance component of the high dynamic range image. The method may further include determining an HDR to HDR inverse tone mapper operator. The method may further include determining a tone expanded image by applying the HDR to HDR inverse tone mapper to the luminance component of the high dynamic range image. The method may further include wherein the HDR to HDR inverse tone mapper curve comprises a linear part for dark and mid-tone levels, and an expanding non-linear part for highlights. The system or apparatus may be configured to perform the operations of the method.

Abstract: Aspects of present principles are directed to methods and apparatus for tone mapping a high dynamic range image. The apparatus includes a processor for performing the following and the method includes the following: obtaining a luminance component of the high dynamic range image; determining an hdr-to-hdr tone mapper curve; determining a tone compressed image by applying the hdr-to-hdr tone mapper curve to the luminance component of the high dynamic range image; wherein the hdr-to-hdr tone mapper curve comprises a linear part for dark and mid-tone levels, and a compressive non-linear part for highlights.

Abstract: A method is proposed for filling-in missing regions in an image of a multimedia content. Such method comprises, for a block x comprising a patch xa of known pixels and a patch xu of unknown pixels: obtaining (300) a set {yi} of N blocks of pixels; splitting (310) the set {yi} for providing a set {yia}, respectively {yiu}, of N patches referring to pixels in the set {yi} having the same relative spatial positions as xa, respectively xu, in x; determining (320) a fill-in patch yfill based on an optimization of an objective function subject to a boundary smoothness constraint taking into account at least one isophote vector estimated at position of at least one pixel p in xa for insuring a smooth transition between the patches xa and xu; filling-in (330) missing regions in the image by associating the patch yfill to the patch xu.

Abstract: The present disclosure concerns a method for calibrating a plenoptic camera. The plenoptic camera includes a lenslet array placed between a main lens and a photosensor, the lenslet array having a plurality of lenslets. The method is remarkable in that it includes obtaining a white image W and a model that describes light scene occlusion induced by the main lens and each lenslet. For a given pixel of the photosensor, where the model is represented by a set of parameters, obtaining a first subset of parameters values from the set of parameters in the model and obtaining a second subset of parameters value from the set of parameters in the model by performing a maximum likelihood estimation method based on the model, the white image and the first subset of parameters values, and where a union of the first and the second subsets of parameters corresponds to the set of parameters.

Abstract: Method comprising, for each pixel, obtaining a pixel expansion exponent value (E?(p)) by low pass filtering luminance values of colors of pixels in its spatial neighborhood, obtaining a pixel luminance-enhancement value (Yenhance(p)) by extraction of high frequencies of luminance values of colors of pixels in its spatial neighborhood, and then inverse tone mapping the luminance (Y(p)) according to the equation Yexp(p)=Y(p)E?(p)×[Yenhance(p)]c.

Abstract: The present principles are directed to a parameterized OETF/EOTF for processing images and video. The present principles provide a method for encoding a picture, comprising: applying a parameterized transfer function to a luminance (L) signal of the picture to determine a resulting V(L) transformed signal; encoding the resulting V(L); wherein the parameterized transfer function is adjusted based on a plurality of parameters to model one of a plurality of transfer functions. The present principles also provide for a method for decoding a digital picture, the method comprising: receiving the digital picture; applying a parameterized transfer function to the digital picture to determine a luminance (L) signal of the digital picture, the parameterized transfer function being based on a plurality of parameters; wherein the parameterized transfer function is adjusted based on a plurality of parameters to model one of a plurality of transfer functions.

Abstract: A method of obtaining one or more HDR images representative of a scene is described. To reach that aim, the method includes obtaining several LDR images representative of the scene. The method further includes identifying one or more first pixels having a pixel value that is greater than a first determined value (i.e. corresponding to underexposed pixels) or having a pixel value that is less than a second determined value (i.e. corresponding to overexposed pixels). The method further includes determining one second pixel, in one or more other LDR images, that corresponds to the first pixel. In a block of pixels centered on the second pixel, weighting values are determined that are representative of similarity between the second pixel and the other pixels of the block. A HDR image is finally obtained by determining and assigning a new pixel value to the first pixel. The new value is calculated based on weighting values and pixel values associated with pixels of a block of pixels centered on the first pixel.

Abstract: Aspects of present principles are directed to methods and apparatus for tone mapping a high dynamic range image. The apparatus includes a processor for performing the following and the method includes the following: obtaining a luminance component of the high dynamic range image; determining an HDR to HDR tone mapper curve; determining a tone compressed image by applying the HDR to HDR tone mapper curve to the luminance component of the high dynamic range image; wherein the HDR to HDR tone mapper curve comprises a first part for dark and mid-tone levels, and a second part for highlights.

Abstract: A method is described for obtaining a position of a main lens optical center of a plenoptic camera. The plenoptic camera has a micro-lens array (MLA) positioned in front of a sensor, the main lens optical center position being defined in a referential relative to the sensor. Such method is remarkable in that it obtains, from a 4D raw light-field data of a monochromatic scene, a set of symmetry axes, each symmetry axis of the set being defined as a line associated with a micro-image, the line passing in the neighborhood of the micro-image center coordinates of the micro-image it is associated with, and in the neighborhood of the brightest pixel in the micro-image it is associated with, the set comprising at least two symmetry axes and determines the position of the main lens optical center according to at least two symmetry axes of the set.

Abstract: This method is based on a linear combination of a first encoding of each color based on a first virtual display device notably defined by a first white and a first set of primaries corresponding to colors reflected from the scene under the illumination with the highest luminance, and of a second encoding based on a second virtual display device notably defined by a second white and a second set of primaries corresponding to colors reflected from the scene under the illumination with the lowest luminance, wherein the weight assigned to the first encoding is proportional to the luminance of said color.

Abstract: The present invention relates in general to a method of high dynamic range (HDR) digital imaging and determining and setting exposure parameters for detection of image data by an imaging device, such as a digital camera, to produce a high dynamic range (HDR) image of a scene. The method includes setting an exposure (Ei+1) for a next frame (fi+1) as a function of the current exposure (Ei), of a first brightness distribution (Hfulli) of colors of pixels of the current frame (fi) and of a second brightness distribution (Hmotioni) of colors of those pixels weighted by the motion of those pixels, such that motion is evaluated for those pixels in comparison with a previous frame (fi), capturing the next frame (fi+1) under the set exposure (Ei+1) and merging the next frame (fi+1) with at least the current frame (fi) into an HDR image.

Abstract: An aspect of present principles is directed to methods, apparatus, systems and computer readable media for image processing. The image processing may include receiving a standard dynamic range (SDR) image or a receiver for receiving a standard dynamic range (SDR) image. It may further include determining an over-exposed region of the SDR image and determining a corrected luminance value for at least a pixel of the over-exposed region, or a processor configured to determine an over-exposed region of the SDR image and a corrected luminance value for at least a pixel of the over-exposed region. The corrected luminance value is determined based on at least one of a shape of the over-exposed region, luminance information of pixels surrounding the over-exposed region, and edge information of the pixels surrounding the over-exposed region. The over-exposed region may be an irregularly shaped region.

Abstract: The present invention proposes to provide methods, apparatus and systems for inverse tone mapping of a high dynamic range image. The method may include the operations of obtaining a luminance component of the high dynamic range image. The method may further include determining an HDR to HDR inverse tone mapper operator. The method may further include determining a tone expanded image by applying the HDR to HDR inverse tone mapper to the luminance component of the high dynamic range image. The method may further include wherein the HDR to HDR inverse tone mapper curve comprises a linear part for dark and mid-tone levels, and an expanding non-linear part for highlights. The system or apparatus may be configured to perform the operations of the method.

Abstract: Method comprising, for each pixel, obtaining a pixel expansion exponent value (E?(p)) by low pass filtering luminance values of colors of pixels in its spatial neighborhood, obtaining a pixel luminance-enhancement value (Yenhance(p)) by extraction of high frequencies of luminance values of colors of pixels in its spatial neighborhood, and then inverse tone mapping the luminance (Y(p)) according to the equation Yexp(p)=Y(p)E?(p)×[Yenhance(p)]c.

Abstract: The present invention relates in general to a method of high dynamic range (HDR) digital imaging and determining and setting exposure parameters for detection of image data by an imaging device, such as a digital camera, to produce a high dynamic range (HDR) image of a scene. The method includes setting an exposure (Ei+1) for a next frame (fi+1) as a function of the current exposure (Ei), of a first brightness distribution (Hfulli) of colors of pixels of the current frame (fi) and of a second brightness distribution (Hmotioni) of colors of those pixels weighted by the motion of those pixels, such that motion is evaluated for those pixels in comparison with a previous frame (fi), capturing the next frame (fi+1) under the set exposure (Ei+1) and merging the next frame (fi+1) with at least the current frame (fi) into an HDR image.

Abstract: Embodiments of the invention relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that facilitate the prediction of the appearance of color in images for different viewing environments, including high dynamic range images. In some embodiments a method can modify color associated with a source environment at a target environment. The method can include applying different non-linear functions to transform subsets of data representing a color of a sample at the source environment into transformed subsets of data, and generating data representing a chroma correlate as an appearance correlate independent of data representing a hue-related correlate. The chroma correlate can be configured to generate the color at a device at the target environment.

Abstract: Embodiments relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that detect light sources in images to facilitate the prediction of the appearance of color for the images in different viewing environments and/or dynamic range modification based on the light sources (e.g., perceived light sources). In some embodiments, a method includes detecting pixels representing a portion of an image, specifying that a subset of pixels for the image portion is associated with a light source, and determining a parameter for the subset of pixels, the parameter being configured to generate a color in a reproduced image that includes the image portion. In one embodiment, light sources are detected to facilitate converting between high dynamic ranges and low dynamic ranges of luminance values.

Abstract: Embodiments relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that detect light sources in images to facilitate the prediction of the appearance of color for the images in different viewing environments and/or dynamic range modification based on the light sources (e.g., perceived light sources). In some embodiments, a method includes detecting pixels representing a portion of an image, specifying that a subset of pixels for the image portion is associated with a light source, and determining a parameter for the subset of pixels, the parameter being configured to generate a color in a reproduced image that includes the image portion. In one embodiment, light sources are detected to facilitate converting between high dynamic ranges and low dynamic ranges of luminance values.