Median Filtered Image Quality Enhancement and Anti-Forensics via Variational Deconvolution

Median Filtered Image Quality Enhancement and Anti-Forensics via Variational Deconvolution Abstract Median filtering enjoys its popularity as a widely adopted image denoising and smoothing tool. It is also used by anti-forensic researchers in helping disguise traces of other image processing operations, e.g., image resampling and JPEG compression. This paper proposes an image variational deconvolution framework […]


Sparse Dissimilarity-Constrained Coding for Glaucoma Screening

Sparse Dissimilarity-Constrained Coding for Glaucoma Screening Abstract Glaucoma is an irreversible chronic eye disease that leads to vision loss. As it can be slowed down through treatment, detecting the disease in time is important. However, many patients are unaware of the disease because it progresses slowly without easily noticeable symptoms. Currently, there is no effective […]