Invention Grant
- Patent Title: System and method for compressing image based on flash in-memory computing array
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Application No.: US17634442Application Date: 2019-12-31
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Publication No.: US12120331B2Publication Date: 2024-10-15
- Inventor: Jinfeng Kang , Yachen Xiang , Peng Huang , Xiaoyan Liu , Runze Han
- Applicant: Peking University
- Applicant Address: CN Beijing
- Assignee: Peking University
- Current Assignee: Peking University
- Current Assignee Address: CN Beijing
- Agency: Schwegman Lundberg & Woessner, P.A.
- Priority: CN 1910738965.3 2019.08.12
- International Application: PCT/CN2019/130472 2019.12.31
- International Announcement: WO2021/027238A 2021.02.18
- Date entered country: 2022-02-10
- Main IPC: H04N19/423
- IPC: H04N19/423 ; H04N19/124 ; H04N19/127

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.
Public/Granted literature
- US20220321900A1 SYSTEM AND METHOD FOR COMPRESSING IMAGE BASED ON FLASH IN-MEMORY COMPUTING ARRAY Public/Granted day:2022-10-06
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