Abstract: A method comprising: obtaining standard dynamic range data; obtaining (601) information representative of an inverse tone mapping process adapted to generate high dynamic range data from the standard dynamic range data and inserting the information in metadata; providing video data representative of the standard dynamic range data (600) along with the metadata (602).

Abstract: A method comprising applying a conversion function to first RGB picture data in a color gamut and corresponding to a first non-linear domain to obtain second RGB picture data in the same color gamut in a linear domain, said conversion function being a combination (1603) of a first and a second function, the first function being a linear function defined between zero and a second inflexion point the slope of which depending on a steepness value and the second function being a part of a linear to first non-linear domain transfer function defined from the second inflexion point, the second inflexion point being computed (1601) in the first non-linear domain from a first inflexion point obtained (1600) in the linear domain, the steepness value being computed (1602) from the first and second inflexion points.

Abstract: A method for inverse tone mapping by obtaining a gain function, called initial gain function, of a first inverse tone mapping function; if an analysis of a current image shows that at least a pixel of the current image with a luminance value at least equal to a luminance value depending of a predetermined percentage of the pixels of the current image have an expanded luminance value resulting from an application of the first ITM function to the current image higher than a target value, applying a second ITM function to the current image, the second ITM function corresponding to the first inverse tone mapping function in which the gain function has been replaced by a modified gain function derived from the initial gain function in which a gain provided by the initial gain function is attenuated by an attenuation function, said attenuation function being weighted by a weighting factor controlling a strength of the attenuation, the weighting factor depending on a statistical distribution of luminance values in a

Abstract: A method for inverse tone mapping includes obtaining a histogram of a low dynamic range image, called LDR image and obtaining an ITMO function, allowing obtaining a pixel value of a High Dynamic Range image, called HDR image, from a pixel value of the LDR image and a gain function depending on said pixel value of the LDR image. A search process is applied using the obtained histogram to identify areas of the LDR image producing bright areas in the HDR image when the ITMO function is applied on said LDR image. Information representative of the bright areas is used to determine when modifying the gain function to ensure the HDR image respects at least one predefined light energy constraint.

Abstract: The present disclosure involves expanding the dynamic range of low dynamic range images and concerns obtaining a first expansion exponent map for an image, and determining, for each pixel of the image, an expanded luminance value by performing an exponentiation with an expansion exponent value determined from the first expansion exponent map on a luminance value of the pixel, and can include calculating, for the pixel of the image, an expansion correcting value by using a modulating function that takes as input a value representative of the luminance of the pixel and is an increasing function whose increase is higher for higher input values, and subtracting the expansion correcting value from the expansion exponent value of the first expansion exponent map.

Abstract: For the processing of an image with a tone-mapping function, it is known to select a tone-mapping function among a reference collection of reference tone-mapping functions and to apply the selected tone-mapping function to colors of this image. When applying this method to images of a video content, it is proposed to add, after such a selection for an image, a step of validation of this selection for the next images of video content. Advantage: prevent too frequent changes of tone-mapping function inside a video content, lower temporal instabilities and visual discomfort during visualization.

Abstract: For the processing of an image with a tone-mapping function, it is known to select a tone-mapping function among a reference collection of reference tone-mapping functions and to apply the selected tone-mapping function to colors of this image. When applying this method to images of a video content, it is proposed to add, after such a selection for an image, a step of validation of this selection for the next images of video content. Advantage: prevent too frequent changes of tone-mapping function inside a video content, lower temporal instabilities and visual discomfort during visualization.

Abstract: The present disclosure involves expanding the dynamic range of low dynamic range images and concerns obtaining a first expansion exponent map for an image, and determining, for each pixel of the image, an expanded luminance value by performing an exponentiation with an expansion exponent value determined from the first expansion exponent map on a luminance value of the pixel, and can include calculating, for the pixel of the image, an expansion correcting value by using a modulating function that takes as input a value representative of the luminance of the pixel and is an increasing function whose increase is higher for higher input values, and subtracting the expansion correcting value from the expansion exponent value of the first expansion exponent map.

Abstract: The module (700) comprises: —a low pass filter for low pass filtering luminance component of the image, —a first look up table (710) storing precomputed values of a first expansion function of only low pass filtered luminance values, —a second look up table (720) storing precomputed values of a second expansion function of only luminance values, —a processor (740, 760) configured to multiply an output of the second look up table corresponding to an input luminance value of a color to expand by an output of said first look up table corresponding to an input low pass filtered luminance value associated with said input luminance value.

Abstract: The disclosure relates generally to the field of high dynamic range (HDR) imaging and addresses the way of expanding the dynamic range of low dynamic range images. A method having the steps of obtaining expansion exponent map data for each one of a plurality of clusters of reference images, obtaining, for each cluster, one feature, called visual feature, representative of the luminance of reference images of the cluster, obtaining a visual feature for the image, comparing the visual feature of the image with the visual features of the clusters according to a distance criterion, selecting the cluster, the visual feature of which is the closest to the visual feature of the image, and applying an expansion exponent map defined by the expansion exponent map data of the selected cluster to the image is described.

Abstract: Inverse tone mapping based on luminance zones is provided. A digital image can be obtained and luminance values of pixels of the digital image can be determined. One or more values of luminance zone boundaries can be determined. A zone expansion exponent map based on the luminance values and the one or more luminance zone boundaries can be determined. The one or more luminance zone boundaries divide the zone expansion exponent map into a plurality of luminance zones. The luminance values of the image can be inverse tone mapped based on the zone expansion exponent map. An expanded dynamic range image can be provided based on the inverse tone mapped luminance values.

Abstract: A method and an apparatus for generating HDR images with reduced clipped areas are disclosed. The method including receiving a lower dynamic range image, called LDR image, and a higher dynamic range image, called HDR image, of a scene, the HDR image is obtained by inverse tone mapping applied to the LDR image; determining new bright areas of the HDR image that are non-present in the LDR image from bright areas detected in the HDR image and bright areas detected the LDR image; and modifying the luminance of the new bright areas of the HDR image by mixing luminance values of the new bright areas of the HDR image with luminance values of areas of the LDR image corresponding to the new bright areas of the HDR image.

Abstract: The module (700) comprises:—a low pass filter for low pass filtering luminance component of the image,—a first look up table (710) storing precomputed values of a first expansion function of only low pass filtered luminance values,—a second look up table (720) storing precomputed values of a second expansion function of only luminance values,—a processor (740, 760) configured to multiply an output of the second look up table corresponding to an input luminance value of a color to expand by an output of said first look up table corresponding to an input low pass filtered luminance value associated with said input luminance value.

Abstract: The present principles relate to a method and a device for reducing noise in a component of a picture. The method includes obtaining a low-pass filtered component by low-pass filtering the component of the picture, for a current pixel in the component of the picture. For at least one current neighboring pixel of the current pixel, computing a distance, relative to the current neighboring pixel, between the value of the current pixel in the low-pass filtered component and the value of the current neighboring pixel in the low-pass filtered component. When the distances relative to the at least one neighboring pixels of the current pixel are lower than a first threshold, modifying the value of the current pixel in said component of the picture according to a linear combination of the value of the current pixel in the component of the picture and the value of the current pixel in the low-pass filtered component.

Abstract: Inverse tone mapping based on luminance zones is provided. A digital image can be obtained and luminance values of pixels of the digital image can be determined. One or more values of luminance zone boundaries can be determined. A zone expansion exponent map based on the luminance values and the one or more luminance zone boundaries can be determined. The one or more luminance zone boundaries divide the zone expansion exponent map into a plurality of luminance zones. The luminance values of the image can be inverse tone mapped based on the zone expansion exponent map. An expanded dynamic range image can be provided based on the inverse tone mapped luminance values.

Abstract: A method is described for inverse tone mapping the luminance (Yt(p)) of each pixel (p) of at least one image (It) of this sequence into an expanded luminance Ytexp(p)=Yt(p)Et(p). Ytenh(p), wherein Et(p) is an expansion exponent value extracted from an expansion exponent map built from low pass motion-compensated temporal filtering of said image (It) and wherein Ytenh(p) is a luminance-enhancement value extracted from a luminance-enhancement map built from high pass motion-compensated temporal filtering of said image (It).

Abstract: The disclosure relates generally to the field of high dynamic range (HDR) imaging and addresses the way of expanding the dynamic range of low dynamic range images. A method having the steps of obtaining expansion exponent map data for each one of a plurality of clusters of reference images, obtaining, for each cluster, one feature, called visual feature, representative of the luminance of reference images of the cluster, obtaining a visual feature for the image, comparing the visual feature of the image with the visual features of the clusters according to a distance criterion, selecting the cluster, the visual feature of which is the closest to the visual feature of the image, and applying an expansion exponent map defined by the expansion exponent map data of the selected cluster to the image is described.

Abstract: The present principles relate to a method and a device for reducing noise in a component of a picture. The method includes obtaining a low-pass filtered component by low-pass filtering the component of the picture, for a current pixel in the component of the picture. For at least one current neighboring pixel of the current pixel, computing a distance, relative to the current neighboring pixel, between the value of the current pixel in the low-pass filtered component and the value of the current neighboring pixel in the low-pass filtered component. When the distances relative to the at least one neighboring pixels of the current pixel are lower than a first threshold, modifying the value of the current pixel in said component of the picture according to a linear combination of the value of the current pixel in the component of the picture and the value of the current pixel in the low-pass filtered component.

Abstract: A method is described for inverse tone mapping the luminance (Yt(p)) of each pixel (p) of at least one image (It) of this sequence into an expanded luminance Ytexp(p)=Yt(p)Et(p). Ytenh(p), wherein Et(p) is an expansion exponent value extracted from an expansion exponent map built from low pass motion-compensated temporal filtering of said image (It) and wherein Ytenh(p) is a luminance-enhancement value extracted from a luminance-enhancement map built from high pass motion-compensated temporal filtering of said image (It).

Abstract: A device and a method for temporal metering of events and to a device and a method for temporal analysis of events. The temporal metering device when operating obtains current times for each occurrence of physical events, and records in at least one metering file, information authorizing a temporal reconstitution of the occurrences. This device comprises a module for summary processing of the occurrences and of the current times, producing condensed results which are recorded in predefined data structures of prefixed sizes of the metering file, so as to make it possible to keep the size of this file constant during successive recordings of this information. Applications to checks of software services and to analyses of computing malfunctions.