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    Method for Learned Image Compression and Related Autoencoder
    5.
    发明申请
    Method for Learned Image Compression and Related Autoencoder 有权

    公开(公告)号：US20250088648A1

    公开(公告)日：2025-03-13

    申请号：US18758390

    申请日：2024-06-28

    Applicant: SISVEL TECHNOLOGY S.R.L. ,  UNIVERSITÀ DEGLI STUDI DI TORINO ,  INSTITUT MINES TELECOM

    Inventor： Alberto Presta ,  Attilio Fiandrotti ,  Enzo Tartaglione ,  Marco Grangetto

    IPC: H04N19/42 ,  G06N3/0455 ,  H04N19/124 ,  H04N19/91

    Abstract: A method for learned image compression implemented in an autoencoder including a learnable encoder and a decoder, the method including: a) extracting from an image a latent space by the learnable encoder; b) quantizing the latent space by a quantizer to obtain a quantized latent space; c) entropy coding the quantized latent space by an entropy encoder to obtain a bitstream, wherein an entropy model used to encode the latent space is represented by a probability distribution; d) entropy decoding the bitstream by an entropy decoder to obtain an entropy decoded bitstream; e) feeding the entropy decoded bitstream to the decoder; f) recover a reconstructed image by the decoder; g) training the autoencoder via standard gradient descent of the backpropagated error gradient by finding learnable parameters of the learnable encoder and of the decoder that minimize a rate distortion cost function, wherein the entropy encoder is based on a differentiable formulation of a soft frequency counter.

    Method and apparatus for encoding and decoding digital images or video streams
    6.
    发明授权
    Method and apparatus for encoding and decoding digital images or video streams 有权

    公开(公告)号：US11432012B2

    公开(公告)日：2022-08-30

    申请号：US16488851

    申请日：2018-03-02

    Applicant: SISVEL TECHNOLOGY S.R.L.

    Inventor： Marco Grangetto ,  Francesco Verdoja

    IPC: H04N19/61 ,  H04N19/124 ,  H04N19/176 ,  H04N19/91 ,  H04N19/44

    Abstract: A method for encoding digital images or video streams, includes a receiving phase, wherein a portion of an image is received; a graph weights prediction phase, wherein the elements of a weights matrix associated to the graph related to the blocks of the image (predicted blocks) are predicted on the basis of reconstructed, de-quantized and inverse-transformed pixel values of at least one previously coded block (predictor block) of the image, the weights matrix being a matrix comprising elements denoting the level of similarity between a pair of pixels composing said image, a graph transform computation phase, wherein the graph Fourier transform of the blocks of the image is performed, obtaining for the blocks a set of coefficients determined on the basis of the predicted weights; a coefficients quantization phase, wherein the coefficients are quantized an output phase wherein a bitstream comprising the transformed and quantized coefficients is transmitted and/or stored.

    Methods and apparatuses for encoding and decoding superpixel borders
    7.
    发明授权
    Methods and apparatuses for encoding and decoding superpixel borders 有权

    公开(公告)号：US10708601B2

    公开(公告)日：2020-07-07

    申请号：US16488879

    申请日：2018-03-02

    Applicant: SISVEL TECHNOLOGY S.R.L.

    Inventor： Marco Grangetto ,  Francesco Verdoja

    IPC: H04N19/00 ,  H04N19/167 ,  H04N19/103 ,  H04N19/182 ,  G06T15/00 ,  G06T17/00

    Abstract: The present invention relates to a method for encoding the borders of pixel regions of an image, wherein the borders contain a sequence of vertices subdividing the image into regions of pixels (superpixels), by generating a sequence of symbols from an alphabet including the step of: defining for each superpixel a first vertex for coding the borders of the superpixel according to a criterion common to all superpixels; defining for each superpixel the same coding order of the border vertices, either clockwise or counter-clockwise; defining the order for coding the superpixels on the base of a common rule depending on the relative positions of the first vertices; defining a set of vertices as a known border, wherein the following steps are performed for selecting a symbol of the alphabet, for encoding the borders of the superpixels: a) determining the first vertex of the next superpixel border individuated by the common criterion; b) determining the next vertex to be encoded on the basis of the coding direction; c) selecting a first symbol (“0”) for encoding the next vertex if the next vertex of a border pertains to the known border, d) selecting a symbol (“1”; “2”) different from the first symbol (“0”) if the next vertex is not in the known border; e) repeating steps b), c), d) and e) until all vertices of the superpixel border have been encoded; f) adding each vertex of the superpixel border that was not in the known border to the set; g) determining the next superpixel whose border is to be encoded according to the common rule, if any; i) repeating steps a)-g) until the borders of all the superpixels of the image have being added to the known border.

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