Abstract: There is disclosed an encoder, a decoder, related methods, and non-transitory storage units storing instructions which, when executed by a computer, cause the computer to perform the methods. At an encoder (300), after a spatial transformation stage (304), there is obtained a spatially transformed version (306) of input image information (302) having multiple bands and, for each band, multiple transform band coefficients. After the generation of precincts (311), each comprising transform coefficients covering a predetermined spatial area of the input image information (302), there is provided a component transformation stage (320, 325), to apply one component transformation (CTr) selected (327) out of a plurality of predetermined component transformations, to each band (102?) of each precinct (311). Hence, there is obtained a spatially transformed and color transformed version (323) of the input image information (302), which is subsequently quantized and entropy encoded.

Abstract: A video encoder, decoder, system, and method for coding a video are presented. The video encoder for encoding a video is configured to encode frames of the video using intra coding and differential inter-frame coding into a data stream, measure a quality loss resulting from coding loss, and signal, as side information, information on the quality loss in the data stream. Further is presented a video decoder configured to decode frames of the video using intra decoding and differential inter-frame decoding from a data stream into which the video is encoded at a coding loss, estimate information on a quality loss resulting from the coding loss, and output, at an output interface of the video decoder, meta data revealing the information on the picture loss, and/or modify a reconstructed version of the video.

Abstract: Disclosed is an encoder for encoding a video sequence comprising consecutive frames into a bit stream, a method for encoding a video sequence comprising consecutive frames into a bit stream, a decoder for decoding a bit stream in order to reconstruct a video sequence comprising consecutive frames and a method for decoding a bit stream in order to reconstruct a video sequence comprising consecutive frames.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by deriving a residual transform signal of the picture from the data stream; combining a residual transform signal with a buffered transform signal approximation of a previous picture of the sequence so as to obtain a transform signal representing the picture, the transform signal having a plurality of transform coefficients; and subjecting the transform signal to a spectral-to-spatial transformation. The apparatus is configured for deriving the buffered transform signal approximation from a further transform signal representing the previous picture so that the buffered transform signal approximation has approximations of further transform coefficients of the further transform signal.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by deriving a residual transform signal of the picture from the data stream; combining a residual transform signal with a buffered transform signal approximation of a previous picture of the sequence so as to obtain a transform signal representing the picture, the transform signal having a plurality of transform coefficients; and subjecting the transform signal to a spectral-to-spatial transformation. The apparatus is configured for deriving the buffered transform signal approximation from a further transform signal representing the previous picture so that the buffered transform signal approximation has approximations of further transform coefficients of the further transform signal.

Abstract: A concept for coding a CFA pattern image is provided, wherein, for each of the sample clusters of the CFA pattern image, having first to fourth sample positions, first to fourth color coordinates are computed, so as to provide an image representation of the CFA pattern image.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by: deriving a residual transform signal of the picture from the data stream; combining the residual transform signal with a buffered transform signal of a previous picture of the sequence so as to obtain a transform signal of the picture, the transform signal representing the picture in spectral components; and subjecting the transform signal to a spectral-to-spatial transformation, wherein the buffered transform signal comprises a selection out of spectral components representing the previous picture.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by deriving a residual transform signal of the picture from the data stream; combining a residual transform signal with a buffered transform signal approximation of a previous picture of the sequence so as to obtain a transform signal representing the picture, the transform signal having a plurality of transform coefficients; and subjecting the transform signal to a spectral-to-spatial transformation. The apparatus is configured for deriving the buffered transform signal approximation from a further transform signal representing the previous picture so that the buffered transform signal approximation has approximations of further transform coefficients of the further transform signal.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by deriving a residual transform signal of the picture from the data stream; combining a residual transform signal with a buffered transform signal approximation of a previous picture of the sequence so as to obtain a transform signal representing the picture, the transform signal having a plurality of transform coefficients; and subjecting the transform signal to a spectral-to-spatial transformation. The apparatus is configured for deriving the buffered transform signal approximation from a further transform signal representing the previous picture so that the buffered transform signal approximation has approximations of further transform coefficients of the further transform signal.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by deriving a residual transform signal of the picture from the data stream; combining a residual transform signal with a buffered transform signal approximation of a previous picture of the sequence so as to obtain a transform signal representing the picture, the transform signal comprising a plurality of transform coefficients; and subjecting the transform signal to a spectral-to-spatial transformation. The apparatus is configured for deriving the buffered transform signal approximation from a further transform signal representing the previous picture so that the buffered transform signal approximation comprises approximations of further transform coefficients of the further transform signal.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by deriving a residual transform signal of the picture from the data stream; combining a residual transform signal with a buffered transform signal approximation of a previous picture of the sequence so as to obtain a transform signal representing the picture, the transform signal comprising a plurality of transform coefficients; and subjecting the transform signal to a spectral-to-spatial transformation. The apparatus is configured for deriving the buffered transform signal approximation from a further transform signal representing the previous picture so that the buffered transform signal approximation comprises approximations of further transform coefficients of the further transform signal.

Abstract: An apparatus for decoding a sequence of pictures from a data stream is configured for decoding a picture of the sequence by: deriving a residual transform signal of the picture from the data stream; combining the residual transform signal with a buffered transform signal of a previous picture of the sequence so as to obtain a transform signal of the picture, the transform signal representing the picture in spectral components; and subjecting the transform signal to a spectral-to-spatial transformation, wherein the buffered transform signal comprises a selection out of spectral components representing the previous picture.

Abstract: There is disclosed an encoder, a decoder, related methods, and non-transitory storage units storing instructions which, when executed by a computer, cause the computer to perform the methods. At an encoder (300), after a spatial transformation stage (304), there is obtained a spatially transformed version (306) of input image information (302) having multiple bands and, for each band, multiple transform band coefficients. After the generation of precincts (311), each comprising transform coefficients covering a predetermined spatial area of the input image information (302), there is provided a component transformation stage (320, 325), to apply one component transformation (CTr) selected (327) out of a plurality of predetermined component transformations, to each band (102?) of each precinct (311). Hence, there is obtained a spatially transformed and color transformed version (323) of the input image information (302), which is subsequently quantized and entropy encoded.

Abstract: A concept for coding a CFA pattern image is provided, wherein, for each of the sample clusters of the CFA pattern image, having first to fourth sample positions, first to fourth color coordinates are computed, so as to provide an image representation of the CFA pattern image.

Abstract: Concepts are presented herein how to efficiently create a suitable palette for low complexity image and video coding. A combination of the palette coding with transform coding is feasible.

Abstract: Transform block coding is performed very efficiently in terms of computational complexity and compression ratio, by coding the magnitude bits of the transform coefficients distributed in a matrix, in which the magnitude bits of the spectral coefficients are arranged column-wise with the spectral coefficients of the transform block ordered along a row direction of the matrix. That is, magnitude bits within a certain column of the matrix belong to a certain spectral coefficient, while magnitude bits within a certain row of the matrix belong to a certain bit plane. In this configuration, the distribution of non-zero magnitude bits may be condensed towards one corner of the matrix, corresponding to, for instance, the least significant bit plane and corresponding to, by using a scan order among the transform coefficients which sorts the transform coefficients generally in a manner from lowest to highest frequency, the lowest frequency. Various low complexity variants are presented.

Abstract: Transform block coding is performed very efficiently in terms of computational complexity and compression ratio, by coding the magnitude bits of the transform coefficients distributed in a matrix, in which the magnitude bits of the spectral coefficients are arranged column-wise with the spectral coefficients of the transform block ordered along a row direction of the matrix. That is, magnitude bits within a certain column of the matrix belong to a certain spectral coefficient, while magnitude bits within a certain row of the matrix belong to a certain bit plane. In this configuration, the distribution of non-zero magnitude bits may be condensed towards one corner of the matrix, corresponding to, for instance, the least significant bit plane and corresponding to, by using a scan order among the transform coefficients which sorts the transform coefficients generally in a manner from lowest to highest frequency, the lowest frequency. Various low complexity variants are presented.

Abstract: Concepts are presented herein how to efficiently create a suitable palette for low complexity image and video coding. A combination of the palette coding with transform coding is feasible.

Abstract: A more effective larynx or vocal fold examination is facilitated when an image recording device, preferably a color image recording device comprising three modes is made available, a face-recording recording mode with a low recording frequency or image repetition frequency, respectively, but with a high resolution, a further face-recording recording mode with a higher image repetition frequency but with a lower resolution, and a one-dimensional, for example, row-recording mode also having a higher image repetition frequency. By the switchability of the image recording device between those modes the examining doctor is capable of first getting an overview by means of the slower image recording mode, wherein this may also be done in color, as due to the slower recording frequency this mode is not subject to the illumination problems like the high-speed camera.