Content-aware image restoration for electron microscopy.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in cell biology"
DOI: 10.1016/bs.mcb.2019.05.001
Abstract: Multiple approaches to use deep neural networks for image restoration have recently been proposed. Training such networks requires well registered pairs of high and low-quality images. While this is easily achievable for many imaging modalities,… read more here.
Keywords: aware image; image restoration; content aware; microscopy ... See more keywords
Content-aware image restoration: pushing the limits of fluorescence microscopy
Sign Up to like & getrecommendations! Published in 2018 at "Nature Methods"
DOI: 10.1038/s41592-018-0216-7
Abstract: Fluorescence microscopy is a key driver of discoveries in the life sciences, with observable phenomena being limited by the optics of the microscope, the chemistry of the fluorophores, and the maximum photon exposure tolerated by… read more here.
Keywords: aware image; image restoration; content aware; microscopy ... See more keywords
Composition-Aware Image Steganography Through Adversarial Self-Generated Supervision.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3175627
Abstract: Steganography is an important and prevailing information hiding tool to perform secret message transmission in an open environment. Existing steganography methods can mainly fall into two categories: predefined rule-based and data-driven methods. The former is… read more here.
Keywords: composition; steganography; composition aware; aware image ... See more keywords