Abstract Understanding how the brain functions is one of grand challenges in modern scientific research. Similar to a computer, functional composed hardware and software. The major bottleneck lies difficulty directly observe ‘software’, i.e. rule operating information used by that might emerge from pan-neuron/synapse connectome. A recognized strategy for probing connectome perform volumetric im...

Recently, generative adversarial networks (GANs) have been successfully applied to speech enhancement. However, there still remain two issues that need be addressed: (1) GAN-based training is typically unstable due its non-convex property, and (2) most of the conventional methods do not fully take advantage characteristics, which could result in a sub-optimal solution. In order deal with these ...

The spatial resolution of micro-XRF can be improved by oversampling and image restoration techniques.

BACKGROUND AND PURPOSE High-resolution MR imaging is an emerging tool for evaluating intracranial artery disease. It has an advantage of defining vessel wall characteristics of intracranial vascular diseases. We investigated high-resolution MR imaging arterial wall characteristics of CNS vasculitis and reversible cerebral vasoconstriction syndrome to determine wall pattern changes during a foll...

Fractal image compression successfully uses selfsimilarity within an image to achieve compression. By adapting fractal image compression techniques to image enhancement, an innovative new fractal technique for visual enhancement of JPEG compressed images is created. After detecting the self-similarity characteristics of a degraded JPEG image, details spoiled by quantization are enhanced using a...