Abstract: The present embodiments relate to a method and device. The method comprises obtaining at least one first point from at least one point of a point cloud by projecting said point of the point cloud onto a projection plane and obtaining at least one other point of the point cloud determined according to said at least one first point; determining and encoding at least one interpolation coding mode for said at least one first point based on at least one reconstructed point obtained from said at least one first point and at least one interpolation point defined by said at least one interpolation coding mode to approximate said at least one other point of the point cloud; and signaling said at least interpolation coding mode as values of image data.

Abstract: At least one embodiment relates to a method comprising encoding a projection mode associated with an image region of a first depth image, said projection mode indicating if said image region stores either the minimum or the maximum depth value of at least one orthogonally projected 3D point of the point cloud along a same projection direction; and encoding said depth minimum and maximum depth values as a function of said projection mode.

Abstract: At least one embodiment relates to provides a method of encoding/decoding attribute of orthogonally projected 3D samples and in-between 3D samples in which an information indicates whether at least one first attribute patch of 2D samples obtained by encoding the attribute of said at least one orthogonally projected 3D samples according to a first attribute coding mode, and at least one second attribute patch of 2D samples of an image obtained by encoding the attribute of at least one in-between 3D sample, are stored in separate images.

Abstract: The present disclosure generally relates to a device and a method of decoding a color picture from a bitstream.

Abstract: At least one embodiment relates to signaling at least one texture patch representing a texture value of at least one in-between 3D sample, a texture patch being a set of 2D samples representing texture values of orthogonally projected 3D samples of a point cloud along projection lines onto a projection plane, and said at least one in-between 3D sample being a 3D sample of the point cloud having a depth value greater than a nearer 3D sample of the point cloud and lower than a farther 3D sample of the point cloud, said at least one in-between 3D sample and said nearer and farther 3D samples being projected along the same projection line

Abstract: At least one embodiment relates to a method for smoothing (filtering) the geometry of a point cloud frame by performing an analysis and filtering of said geometry point cloud in a 2D space, without reconstruction of 3D samples in a 3D space, and by using a flexible filtering operator that, in addition to moving existing points, can also remove points or add new ones.

Abstract: The present disclosure generally relates to a device and a method of decoding a color picture from a bitstream.

Abstract: The present principles relates to a method and device for reconstructing an HDR image by applying a reconstruction process on a SDR image whose the content is similar to the content of the HDR image but the dynamic range of the luminance values of said SDR image is lower than the dynamic range of the luminance values of said HDR image, said reconstruction process requiring parameters obtained from a bitstream. The method is characterized in that the method further comprises determining whether all the required parameters are available from the bitstream and recovering the lost or corrupted parameters from additional data, said reconstruction process further taking into account said recovered parameters.

Abstract: A method and apparatus of encoding/decoding attributes of points of a pint cloud are provided. The encoding method subdivides a bounding box bounding the points to be encoded, encodes data representative of attributes of a point by referring to a subdivision to which said point belongs to; and encode data representative of a number of points comprised in each subdivision.

Abstract: At least a method and an apparatus are presented for efficiently encoding or decoding video. For example, a 2-D patch of the point cloud is obtained by projecting 3-D points of the point cloud onto a projection plane, the patch having a plurality of pixels. The patch is divided into a plurality of smaller blocks. The number of pixels is determined within each of the plurality of smaller blocks. An updated occupancy map is obtained based on the determined number of pixels within each of the plurality of smaller blocks. A reconstructed point cloud is obtained based on the updated occupancy map, wherein the reconstructed point cloud is a less dense representation of the point cloud.

Abstract: The present principles relates to a method and device for reconstructing an High-Dynamic-Range image represented by one reconstructed High-Dynamic-Range luma component (??) and two reconstructed High-Dynamic-Range chroma components (Û?, (I)) from a Standard-Dynamic-Range image represented by a Standard-Dynamic-Range luma component (y?, y?1) and two Standard-Dynamic-Range chroma components (u?, v?). The method is characterized in that the method comprises: inverse-mapping (22) said Standard-Dynamic-Range luma component (y?, y?1) to obtain said reconstructed High-Dynamic-Range luma component (??); and correcting (33) said two Standard-Dynamic-Range chroma components (u?, v?) to obtain said two reconstructed High-Dynamic-Range chroma components (Û?, (I)) according to said Standard-Dynamic-Range luma component (y?, y?1) and said reconstructed High-Dynamic-Range luma component (??).

Abstract: The present embodiments relate to a method and device. The method comprises obtaining at least one first point from at least one point of a point cloud by projecting said point of the point cloud onto a projection plane and obtaining at least one other point of the point cloud determined according to said at least one first point; determining and encoding at least one interpolation coding mode for said at least one first point based on at least one reconstructed point obtained from said at least one first point and at least one interpolation point defined by said at least one interpolation coding mode to approximate said at least one other point of the point cloud; and signaling said at least interpolation coding mode as values of image data.

Abstract: At least one embodiment relates to a method comprising obtaining an occupancy information indicating if blocks of a 2D regular grid defined over a projection plane are associated with depth information of an orthogonal projection of at least one point of a point cloud onto said projection plane; embedding said occupancy information in an image storing said depth information; and encoding said image.

Abstract: A system and method is provided for generating a tone mapping function to reduce dynamic range of a first image to produce a second image. A luma signal and a plurality of chroma components associated with the first and second image are then determined. A gamut color correction is then performed on the second image using an adaptive function. The adaptive function is generated by comparing said luma signal and at least one chroma component of said first and second image.

Abstract: A system and methods is provided for performing, by a processor, an initial tone mapping function on a first image to produce a second image. The first and second images are of different dynamic ranges. The method also includes applying, by the processor, a second tone mapping function to the second image when it contains any saturated portions. The second tone mapping function lowers luminance by a first fraction. The overall luminance of the second image is also determined and a fine tuning filter is applied when at least portions of said second image contain areas darker than an amount.

Abstract: Method and device for encoding a point cloud that represents a three-dimensional (3D) object. One or more groups of temporally successive pictures are obtained. Each picture of the one or more groups comprises a first set of images, the images being spatially arranged in a same manner in each picture of the one or more groups. A second set of projections is associated with the one or more groups, a unique projection being associated with each image in such a way that a same projection is associated with only one single image and all projections are associated with the images. A first information representative of the projections is encoded. The point cloud may then be encoded according to the obtained pictures. A corresponding method and device for decoding a bitstream that comprises data representative of the encoded picture(s) are also described.

Abstract: A method and device of encoding both a HDR picture (IHDR) and a first SDR picture (ISDR1) obtained from said HDR picture, in at least one bitstream (F1, F2, F3, F4). The method comprises: —obtaining (210) a second SDR picture (ISDR2) by tone-mapping the HDR picture (IHDR); —obtaining (230) a color mapping function (CMF) that allows the mapping of the colors of the second SDR picture (ISDR2) onto the colors of a third SDR picture (ISDR3) obtained (220) from the first SDR picture (ISDR1); —encoding (240), in a bitstream, an information (INF) representative of the color mapping function; and —encoding (260), in a bitstream, a fourth SDR picture (ISDR4) obtained (250) from the first SDR picture (ISDR1). The present disclosure further relates to a method and device of decoding.

Abstract: A colored three-dimensional point cloud is encoded in at least two depth and texture images. The proposed method and device use inverse project pixels of the first image and inverse project pixels to the second image. When the inverse projecting of a first pixel of the first image and the inverse projecting of a second pixel of the second image refer to a common generated point, that is two 3D points closer to each other than the imprecision due to the encoding and compression of the images, the color value of the pixel of first and second pixels having the lowest local depth variance is attributed to the common generated point.

Abstract: At least one embodiment relates to a method for adding at least one 3D sample to a point cloud frame and for assigning a color-coding mode to said at least one 3D sample, said color-coding mode indicating if color information associated with said at least one 3D sample is explicitly encoded in a bitstream or if said color information is implicit.

Abstract: The present principles relates to a method and device for reconstructing an HDR image by applying a reconstruction process on a SDR image whose the content is similar to the content of the HDR image but the dynamic range of the luminance values of said SDR image is lower than the dynamic range of the luminance values of said HDR image, said reconstruction process requiring parameters obtained from a bitstream. The method is characterized in that the method further comprises determining whether all the required parameters are available from the bitstream and recovering the lost or corrupted parameters from additional data, said reconstruction process further taking into account said recovered parameters.