- 专利标题: NEURAL NETWORK FOR ENHANCING ORIGINAL IMAGE, AND COMPUTER-IMPLEMENTED METHOD FOR ENHANCING ORIGINAL IMAGE USING NEURAL NETWORK
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申请号: US16755044申请日: 2019-08-19
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公开(公告)号: US20210233214A1公开(公告)日: 2021-07-29
- 发明人: Hanwen Liu , Pablo Navarrete Michelini , Dan Zhu , Lijie Zhang
- 申请人: BOE Technology Group Co., Ltd.
- 申请人地址: CN Beijing
- 专利权人: BOE Technology Group Co., Ltd.
- 当前专利权人: BOE Technology Group Co., Ltd.
- 当前专利权人地址: CN Beijing
- 优先权: CN201910123432.4 20190218
- 国际申请: PCT/CN2019/101391 WO 20190819
- 主分类号: G06T5/00
- IPC分类号: G06T5/00 ; G06N3/08
摘要:
A neural network is provided. The neural network includes 2n number of sampling units sequentially connected; and a plurality of processing units. A respective one of the plurality of processing units is between two adjacent sampling units of the 2n number of sampling units. A first sampling unit to an n-th sample unit of the 2n number of sampling units are DeMux units. A respective one of the DeMux units is configured to rearrange pixels in a respective input image to the respective one of the DeMux units following a first scrambling rule to obtain a respective rearranged image. An (n+1)-th sample unit to a (2n)-th sample unit of the 2n number of sampling units are Mux units. A respective one of the Mux units is configured to combine respective m′ number of input images to the respective one of the Mux units to obtain a respective combined image.