Improving Quality of Electron Microscopic Images Using Post-Processing Filters

Electron microscopy makes it possible to magnify samples at almost atom level by using electron beams to scan the sample. These images could be improved in terms of noise and sharpness. In this research we looked into the possibilities to use post-processing filters for improving the quality of electron microscopic images.

Filtering Quasiperiodic Noise from Biomedical Images

In the field of biomedical imaging, images often report a combination of biologically induced variation, usually the goal of the imaging process (e.g. outlining an anatomical region or disease pattern), and non-biological variation, such as instrument or acquisition method-induced noise patterns. <br/>Since some medical decisions are made based...

Model-based Filtering of Resting-State Blood-Oxygen-Level-Dependent Signal

Resting-state functional magnetic resonance imaging (rs-fMRI) is one of the promising non-invasive technology that helps in the detection of neurodegenerative and neurological disorders, localisation of the different areas of the brain and understanding the connectivity between them. It involves the acquisition of time series of MR images while...

Accelerating MA-XRF Data Acquisition by Exploiting Local Spatial and Spectral Relations within a Hyperspectral Datacube: An Approach through Wavelet Denoising

Macro X-ray fluorescence (MA-XRF) is a recently developed technology allowing to obtain elemental information from cultural heritage objects. This information can, for example, be used to identify pigments used in a painting. Yet, the extended period of time it takes to scan an object is a major issue within MA-XRf. For instance, it took about...