58 citations · 107 across the 9 of their papers we have counts for
8 papers · 1 filter
Blindly Deconvolving Super-noisy Blurry Image Sequences
Leonid Kostrykin, Stefan Harmeling
Image blur and image noise are imaging artifacts intrinsically arising in image acquisition. In this paper, we consider multi-frame blind deconvolution (MFBD), where image blur is…
Deblurring Photographs of Characters Using Deep Neural Networks
Thomas Germer, Tobias Uelwer, Stefan Harmeling
In this paper, we present our approach for the Helsinki Deblur Challenge (HDC2021). The task of this challenge is to deblur images of characters without knowing the point spread fu…
Contour Proposal Networks for Biomedical Instance Segmentation
Eric Upschulte, Stefan Harmeling, Katrin Amunts +1
We present a conceptually simple framework for object instance segmentation called Contour Proposal Network (CPN), which detects possibly overlapping objects in an image while simu…
Fast Multi-Level Foreground Estimation
Thomas Germer, Tobias Uelwer, Stefan Conrad +1
Alpha matting aims to estimate the translucency of an object in a given image. The resulting alpha matte describes pixel-wise to what amount foreground and background colors contri…
PyMatting: A Python Library for Alpha Matting
Thomas Germer, Tobias Uelwer, Stefan Conrad +1
An important step of many image editing tasks is to extract specific objects from an image in order to place them in a scene of a movie or compose them onto another background. Alp…
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks
Hannah Spitzer, Katrin Amunts, Stefan Harmeling +1
Microscopic analysis of histological sections is considered the "gold standard" to verify structural parcellations in the human brain. Its high resolution allows the study of lamin…