Registered
METHOD AND APPARATUS FOR REMOVING COMPRESSED POISSON NOISE OF IMAGE BASED ON DEEP NEURAL NETWORK
- Inventors
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Yoo Seok Bong, Han Mi Kyong
- Application No.
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16987027 (2020.08.06)
- Publication No.
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20210042887 (2021.02.11)
- Registration No.
- 11430090 (2022.08.30)
- Country
- UNITED STATES
- Project Code
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19MH1500, Development and Demonstration of Smart City Service over 5G Network,
Han Mi Kyong
- 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.
- KSP Keywords
- Block transform, Deep neural network(DNN), Frequency components, High frequency(HF), Low frequency, Poisson Noise, high-band, high-frequency components, low-band, neural network(NN)
- Family
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