Papers

Basic information

Name ENDO KAZUKI
Belonging department Management Information Course,Department of Business,Faculty of Humanities and Social Sciences
Occupation name Associate Professor
researchmap researcher code
researchmap agency

Title 

Data augmentation technique for degraded images without losing the classification ability of clean images

					

					

						

							

								

									
Bibliography怀Type 

									
								

							

						

						
Sole Author

					

					

						

							

								

									
Summary 

									
								

							

						

						
A classifier trained with degraded images usually underperforms a classifier trained with only clean images in the classification of clean images.
This study proposes a data augmentation technique for degraded images without losing the classification ability of clean images.
 

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
Journal of Electronic Imaging

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
202403