Patent · US Active

System and method for compressing image based on flash in-memory computing array

US12120331B2 · kind B2 · utility

0Cited by

2References

8Claims

0Family size

Assignee

Peking University · CN

Inventors

Jinfeng Kang · Beijing, CN
Yachen XIANG · Beijing, CN
Peng HUANG · Beijing, CN
Xiaoyan Liu · Beijing, CN
Runze Han · Beijing, CN

Key dates

Filing date	Dec 31, 2019
Grant date	Oct 15, 2024
Priority date	—
Expiry date	Dec 11, 2040

Classification

Technology area (CPC H)Electricity
CPC primaryH04N19/127
WIPO fieldAudio-visual technology
WIPO sectorElectrical engineering

Abstract

A system and a method for compressing an image based on a FLASH in-memory computing array are provided. The system includes: a convolutional neural network for encoding of the FLASH in-memory computing array, a convolutional neural network for decoding based on the FLASH in-memory computing array, and a quantization module; the convolutional neural network for encoding based on the FLASH in-memory computing array is configured to encode an original image to obtain a feature image; the quantization module is configured to quantize the feature image to obtain a quantized image; the convolutional neural network for decoding based on the FLASH in-memory computing array is configured to decode the quantized image to obtain a compressed image.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.