Method for Training Image Processing Network, Encoding Method, Decoding Method, and Electronic Device

Abstract: a training method includes obtaining a first training image and a first predicted image, and obtaining a period of checkerboard effect, where the first predicted image is generated by performing image processing on the first training image based on the image processing network; dividing the first training image into m first image blocks, and dividing the first predicted image into m second image blocks, based on the period, where both a size of the first image block and a size of the second image block are related to the period; determining a first loss based on the m first image blocks and the m second image blocks; and then training the image processing network based on the first loss.

Inventor(s): Meng Li, Jing Wang, Yibo Shi

CPC Classification: G06T5/60 (using machine learning, e.g. neural networks)

Search for rejections for patent application number 20250182251