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