Invention Grant
- Patent Title: Method and apparatus for removing compressed Poisson noise of image based on deep neural network
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Application No.: US16987027Application Date: 2020-08-06
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Publication No.: US11430090B2Publication Date: 2022-08-30
- Inventor: Seok Bong Yoo , Mi Kyong Han
- Applicant: Electronics and Telecommunications Research Institute
- Applicant Address: KR Daejeon
- Assignee: Electronics and Telecommunications Research Institute
- Current Assignee: Electronics and Telecommunications Research Institute
- Current Assignee Address: KR Daejeon
- Agency: Kile Park Reed & Houtteman PLLC
- Priority: KR10-2019-0096044 20190807
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T5/10 ; G06T5/50 ; G06N3/08 ; G06N3/04

Abstract:
A method for removing compressed Poisson noises in an image, based on deep neural networks, may comprise generating a plurality of block-aggregation images by performing block transform on low-frequency components of an input image; obtaining a plurality of restored block-aggregation images by inputting the plurality of block-aggregation images into a first deep neural network; generating a low-band output image from which noises for the low-frequency components are removed by performing inverse block transform on the plurality of restored block-aggregation images; and generating an output image from which compressed Poisson noises are removed by adding the low-band output image to a high-band output image from which noises for high-frequency components of the input image are removed.
Public/Granted literature
- US20210042887A1 METHOD AND APPARATUS FOR REMOVING COMPRESSED POISSON NOISE OF IMAGE BASED ON DEEP NEURAL NETWORK Public/Granted day:2021-02-11
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