Architectural Innovations for Efficient Denoising and Classification: A Manual vs. Neural Architecture Search Comparison

In this paper, we combine image denoising and classification, aiming to enhance human perception of noisy images captured by edge devices, like security cameras. Since edge devices have little computational power, we also optimize for efficiency by proposing a novel architecture that integrates the two tasks. Additionally, we alter a Neural...

Determining viewing points for catoptric anamorphoses

Finding good viewpoints for catoptric anamorphoses by hand is hard. However, it should be possible to find the optimal viewpoint using just the specifications of the mirror. This problem is solved by first generating a set of candidate viewpoints using the specifications of the mirror. Then all candidates are ranked based on metrics like visible...

Objective Image Quality Assessment and Comparison of Ultrasound Probes: Research to Application of Trans-Balloon, Miniaturized TEE in Atrial Ablation Procedures

Atrial Fibrillation (AF) is a common type of arrhythmia, characterized by rapid and irregular contraction of the atria. Irregular contraction of the atria is caused by erroneous electrical activation, originating from the tissue around the Pulmonary Veins (PV) in the Left Atrium (LA). Catheter-based treatment of AF includes ablation of the...

The impact of spatial sampling and signal-to-noise ratio on image quality in onshore seismics

An onshore seismic survey is best conducted symmetrically, due to the reciprocity theorem of the wave field. Within the family of symmetric geometries the cross spread is most used. Recent developments show a marked increase of the number of available channels, nowadays 100,000+. This enables the use of point receivers, meaning that every...

Performance evaluation of multipinhole μSPECT systems for short time frames

The need of image (frame) acquisitions within short time intervals is of major importance for preclinical SPECT imaging. The short frame times enable higher temporal resolution which is required in bio-distribution and pharmacokinetic studies where fast dynamic imaging is performed. The present study evaluates and compares the performance of two...

Generating virtual CT from MRI using fully convolutional neural networks with improved structure quality

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Active Learning in Image Quality Assessment

A world without digital images is unthinkable in this era of information and communication technology. Billions of images are created, shared and ultimately enjoyed by users every day. However, digital images are sensitive to a wide variety of distortions during the delivery mechanism it goes through. Any of the distortions that can arise during...

Semi-hidden target recognition in gated viewer images fused with traditional thermal IR images

Nowadays, for the defense and security community, it is of prior importance to classify threats that are merged in a background while at the same time understanding the context of the entire scene. Traditional TV and Infra-Red (IR) cameras allow for an easy context understanding by providing valuable background and scenery information....

Image processing of optical coherence tomography for image guided dental drilling

In the past two decades, dental implants have been an essential component of the public health. However, lack of a reliable and safe dental surgery imaging modality remains a major problem. Optical coherence tomography (OCT) is an interferometic optical imaging modality that is somewhat similar to B-mode ultrasound but utilizes infrared light...

The Effect of Task on Visual Attention and its Application to Image Quality Assessment Metrics

Determining the perceived quality of a digital image can be done by showing it to a large group of people and ask them to rate its quality. However, this method is too cumbersome and time-consuming for most applications. Therefore, automatic metrics have been developed, which are able to objectively predict the perceived image quality without...

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.