Method and apparatus for restoring a target restoration region in an image
AssigneeSamsung Electronics Co., Ltd.
InventorsMengmeng BAI, Jiahui Yuan, Xiansong Song, Jaekeun Na, Changwei Wang, Li Zuo, Wei Wen
Life of this patent
Estimating the term…
Abstract
A method may include acquiring a first image that is obtained by adding noise to a second image, the second image comprising a target restoration region. The method may include performing at least one first denoising process on the first image using a first artificial intelligence (AI) network to obtain a first denoising result. The method may include restoring the target restoration region based on the first denoising result using a second AI network to obtain a restored image.
Claims20
A method executed by an electronic device, the method comprising:
- acquiring a first image that is obtained by adding noise to a second image, the second image comprising a target restoration region;
- performing at least one first denoising process on the first image using a first artificial intelligence (AI) network to obtain a first denoising result;
- and
- restoring the target restoration region based on the first denoising result using a second AI network to obtain a restored image.
An electronic device comprising:
- a memory configured to store instructions;
- and
- at least one processor configured to execute the instructions to:
- acquire a first image that is obtained by adding noise to a second image, the second image comprising a target restoration region;
- perform at least one first denoising process on the first image using a first artificial intelligence (AI) network to obtain a first denoising result;
- and
- restore the target restoration region based on the first denoising result using a second AI network to obtain a restored image.
A non-transitory computer-readable storage medium storing instructions which, when executed by at least one processor, cause the at least one processor to:
- acquire a first image that is obtained by adding noise to a second image, the second image comprising a target restoration region;
- perform at least one first denoising process on the first image using a first artificial intelligence (AI) network to obtain a first denoising result;
- and
- restore the target restoration region based on the first denoising result using a second AI network to obtain a restored image.
Dependencies are inferred from the claim text.