Apple Inc.
NEURAL NETWORK BASED IMAGE SET COMPRESSION

Last updated:

Abstract:

Techniques for coding sets of images with neural networks include transforming a first image of a set of images into coefficients with an encoder neural network, encoding a group of the coefficients as an integer patch index into coding table of table entries each having vectors of coefficients, and storing a collection of patch indices as a first coded image. The encoder neural network may be configured with encoder weights determined by jointly with corresponding decoder weights of a decoder neural network on the set of images.

Status:
Application
Type:

Utility

Filling date:

31 Mar 2020

Issue date:

1 Apr 2021