Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images admin2020-08-14T21:28:21+00:00August 10th, 2020|2018, Publications|0 Comments Additional Info Source: https://www.synchromedia.ca/system/files/MDM%20%28IEEE%20TBC%202018%29_0.pdf Share This Story, Choose Your Platform! FacebookTwitterRedditLinkedInWhatsAppTumblrPinterestVkEmail About the Author: admin Synchromedia.ca Related Posts Converging Game Theory and Reinforcement Learning For Industrial Internet-of-Things Converging Game Theory and Reinforcement Learning For Industrial Internet-of-Things Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services Historical documents dating using multispectral imaging and ordinal classification Historical documents dating using multispectral imaging and ordinal classification KFBin: Kalman Filter-Based Approach for Document Image Binarization KFBin: Kalman Filter-Based Approach for Document Image Binarization Kernel Orthogonal Nonnegative Matrix Factorization: Application to Multispectral Document Image Decomposition Kernel Orthogonal Nonnegative Matrix Factorization: Application to Multispectral Document Image Decomposition
