Abstract: The invention relates to a method for decoding an image based on a base layer (Cbase) and enhancement information (Iam), said method comprising the following steps: decoding said base layer (Cbase) in order to obtain at least one base component (Ydecbase, Udecbase, Vdecbase), oversampling the at least one base component (Ydecbase, Udecbase, Vdecbase) in order to obtain at least one oversampled component (Ysurech, Usurech, Vsurech), decoding the enhancement information (Iam) by means of a part (B) at least of artificial neural network in order to obtain enhancement values (Vam), reconstructing the image based on the at least one oversampled component (Ysurech, Usurech, Vsurech) and the enhancement values (Vam). The invention also relates to associated encoding method, electronic decoding device, electronic encoding device and signal.

Abstract: An image processing device and method for converting an input image having a first dynamic range into an output image having a second dynamic range higher than the first dynamic range are provided. The image processing device includes a mapping unit for transforming an input luminance value associated with a pixel of the input image into an output luminance value associated with the corresponding pixel in the output image. The mapping unit is configured to apply a continuous and increasing function mapping a first range of values into a second range of values, whereby the highest value in the first range of values is mapped by the continuous and increasing function into a supremum of the second range of values. The mapping unit is configured to adjust the supremum depending on a peak luminance.

Abstract: A method for forming an image sequence that is an output sequence, from an input image sequence, is provided. The input image sequence has an input spatial resolution and an input temporal resolution. The output sequence has an output temporal resolution equal to the input temporal resolution and an output spatial resolution equal to a predetermined fraction 1/N of the input spatial resolution by an integer number N higher than or equal to 2. The method, implemented for a sub-sequence of the input frame sequence that is a current input sub-sequence and including a preset number of images, includes: obtaining a temporal frequency that is an image frequency, associated with the current input sub-sequence; processing the current input sub-sequence to obtain an output sub-sequence; and inserting the output sub-sequence and the associated image frequency into an output container.

Abstract: A method for decoding an image based on a base layer and enhancement information includes decoding the base layer in order to obtain at least one base component, oversampling the at least one base component in order to obtain at least one oversampled component, decoding the enhancement information by a part at least of artificial neural network in order to obtain enhancement values, and reconstructing the image based on the at least one oversampled component and the enhancement values. An associated encoding method, electronic decoding device, and electronic encoding device are provided.

Abstract: Disclosed is a method for encoding data corresponding to a video sequence, into a spatial resolution scalable binary flow, including a base layer and enhancement layer. The method includes, for a frame of the sequence: obtaining, from the frame, a first frame, partitioning the first frame into blocks, each block having a given size, and encoding a block of the first frame to generate the base layer; obtaining, from the frame, a second frame; partitioning the second frame into blocks by inferring the initial size of a block from the size of a corresponding block in the first frame, the block of the second frame having an initial spatial resolution; determining a spatial encoding resolution associated with the block from a set of predetermined spatial resolutions; and coding data representative of the at block, based on the determined spatial encoding resolution, to generate an enhancement layer.

Abstract: A method is described for converting an input image into an output image, the output image including an output luminance component made of elements. The method includes: obtaining an input luminance component from the input image; determining the output luminance component, the respective ranges of the output luminance component element values and input luminance component element values being of different range extension, the determining step including: —determining a first intermediate luminance component from the input luminance component and an exponent, —obtaining a mapping profile allowing for mapping a luminance component based on the input luminance component into the output luminance component, —determining a second intermediate luminance component from the input luminance component and the obtained mapping profile, —determining the output luminance component from the first and second intermediate luminance components; and converting the input image into the output image.

Abstract: A method is described for converting an input image into an output image, the output image including an output luminance component made of elements. The method includes: obtaining an input luminance component from the input image; determining the output luminance component, the respective ranges of the output luminance component element values and input luminance component element values being of different range extension, the determining step including: —determining a first intermediate luminance component from the input luminance component and an exponent, —obtaining a mapping profile allowing for mapping a luminance component based on the input luminance component into the output luminance component, —determining a second intermediate luminance component from the input luminance component and the obtained mapping profile, —determining the output luminance component from the first and second intermediate luminance components; and converting the input image into the output image.

Abstract: A method for forming an image sequence that is an output sequence, from an input image sequence, is provided. The input image sequence has an input spatial resolution and an input temporal resolution. The output sequence has an output temporal resolution equal to the input temporal resolution and an output spatial resolution equal to a predetermined fraction 1/N of the input spatial resolution by an integer number N higher than or equal to 2. The method, implemented for a sub-sequence of the input frame sequence that is a current input sub-sequence and including a preset number of images, includes: obtaining a temporal frequency that is an image frequency, associated with the current input sub-sequence; processing the current input sub-sequence to obtain an output sub-sequence; and inserting the output sub-sequence and the associated image frequency into an output container.

Abstract: The process utilizing the inter mode with motion estimation with respect to a reference image and the intra mode, wherein: an exclusion zone which includes the macroblocks which lie even partially in the location of the imagette is defined in the image, the motion estimation of the macroblocks of the image not belonging to the exclusion zone cannot take account of an image block belonging to the exclusion zone in the reference image. Applications relate to the coding of images which is compatible with the inserting of logos or other imagettes specific to the utilizer. They also relate to the real-time coding of images comprising insets.

Abstract: The device includes a set of processing macromodules connected in cascade and organized in accordance with hierarchical levels. Each macromodule is structured so as to partition the current image into macroblocks of a determined size corresponding to its hierarchical level so as to transmit a motion vector field to the block which follows it, and includes first circuits for calculating the displaced inter-image differences DFDi and the gradients on the basis of the values of luminance of the pixels of the video image and of the displacement vectors of each image preceding or following the current image; second circuits for performing blockwise the summations of the displaced inter-image differences and third circuits for performing corrections of the displacement vectors of the image.

Abstract: Synchronization for a device receiving an input sequence of variable length rasters even in the presence of transmission errors. Each variable length raster is preceded by an N times identically repeated prefix, this prefix is composed of a fixed binary pattern separator and a parameter word describing the variable length raster to follow. Upon identifying a fixed binary pattern separator, even in the presence of transmission errors, the synchronization device outputs asynchronization signal signaling that a parameter word is to follow. The parameter word input is then subjected to transmission error elimination and output to the receiving device. Thus the receiving device is able to properly input the incoming variable length raster based on a accurate parameter word.