2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Network
Ali Karaali, Claudio Rosito Jung
Defocus blur is a physical consequence of the optical sensors used in most cameras. Although it can be used as a photographic style, it is commonly viewed as an image degradation m…
eess.IV2021★ 1 cited
DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet
Ali Karaali, Rozenn Dahyot, Donal J. Sexton
Accurate retinal vessel segmentation is an important task for many computer-aided diagnosis systems. Yet, it is still a challenging problem due to the complex vessel structures of…
cs.CV2020★ 1 cited
Deep Multi-Scale Feature Learning for Defocus Blur Estimation
Ali Karaali, Naomi Harte, Claudio Rosito Jung
This paper presents an edge-based defocus blur estimation method from a single defocused image. We first distinguish edges that lie at depth discontinuities (called depth edges, fo…