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 

CNN-based Classification of Degraded Images

					

					

						

							

								

									
Bibliography怀Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Summary 

									
								

							

						

						
This paper proposed a convolutional neural network whose inputs are both a degraded image and a degradation level. The proposed network improved the classification accuracy against existing methods.
Kazuki Endo, Masayuki Tanaka, Masatoshi Okutomi

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
IS&T International Symposium on Electronic Imaging 2020

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
202001