-
公开(公告)号：WO2022197001A1
公开(公告)日：2022-09-22
申请号：PCT/KR2022/003239
申请日：2022-03-08
发明人： BINDIGAN HARIPRASANNA, Pawan Prasad , DAS, Saikat Kumar , K S, Green Rosh , BOREGOWDA, Lokesh Rayasandra , SINGH, Balvinder , PEDDIGARI, Venkat Ramana , SHUKLA, Alok Shankarlal
摘要： A method for removing an artifact in a high resolution image by an electronic device is provided. The method includes receiving the high resolution image comprising the artifact. Further, the method includes downscaling the high resolution image into a plurality of lower resolution images. Further, the method includes removing the artifact from the plurality of lower resolution images by applying at least one first machine learning model from a plurality of machine learning models on the plurality of lower resolution images. Further, the method includes generating a high resolution image free from the artifact by applying at least one second machine learning model from the plurality of machine learning models on an output from the at least one first machine learning model. The output from each of the machine learning model comprises a low resolution image free from the artifact.
-
公开(公告)号：WO2022197001A8
公开(公告)日：2022-09-22
申请号：PCT/KR2022/003239
申请日：2022-03-08
发明人： BINDIGAN HARIPRASANNA, Pawan Prasad , DAS, Saikat Kumar , K S, Green Rosh , BOREGOWDA, Lokesh Rayasandra , SINGH, Balvinder , PEDDIGARI, Venkat Ramana , SHUKLA, Alok Shankarlal
IPC分类号： G06T5/00 , G06T3/40 , G06N3/08 , G06T2207/10016 , G06T2207/20016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30242 , G06T3/4046 , G06T5/006 , G06T5/20 , G06V10/20 , G06V10/764 , G06V10/776 , G06V10/82
摘要： A method for removing an artifact in a high resolution image by an electronic device is provided. The method includes receiving the high resolution image comprising the artifact. Further, the method includes downscaling the high resolution image into a plurality of lower resolution images. Further, the method includes removing the artifact from the plurality of lower resolution images by applying at least one first machine learning model from a plurality of machine learning models on the plurality of lower resolution images. Further, the method includes generating a high resolution image free from the artifact by applying at least one second machine learning model from the plurality of machine learning models on an output from the at least one first machine learning model. The output from each of the machine learning model comprises a low resolution image free from the artifact.
-
搜索结果
2 条记录 (耗时 0.008 秒)
