Denoising Your Monte Carlo Renders: Recent Advances in Image Space-Adaptive Sampling and Reconstruction

With the ongoing shift in the computer graphics industry toward Monte Carlo rendering, there is a need for effective, practical noise-reduction techniques that are applicable to a wide range of rendering effects and easily integrated into existing production pipelines. This course surveys recent advances in image-space adaptive sampling and reconstruction algorithms for noise reduction, which have proven very effective at reducing the computational cost of Monte Carlo techniques in practice. These approaches leverage advanced image-filtering techniques with statistical methods for error estimation. They are attractive because they can be integrated easily into conventional Monte Carlo rendering frameworks, they are applicable to most rendering effects, and their computational overhead is modest.

Monte-Carlo simulation of Callisto's exosphere

We model Callisto's exosphere based on its ice as well as non-ice surface via the use of a Monte-Carlo exosphere model. For the ice component we implement two putative compositions that have been computed from two possible extreme formation scenarios of the satellite. One composition represents the oxidizing state and is based on the assumption that the building blocks of Callisto were formed in the protosolar nebula and the other represents the reducing state of the gas, based on the assumption that the satellite accreted from solids condensed in the jovian sub-nebula. For the non-ice component we implemented the compositions of typical CI as well as L type chondrites. Both chondrite types have been suggested to represent Callisto's non-ice composition best. As release processes we consider surface sublimation, ion sputtering and photon-stimulated desorption. Particles are followed on their individual trajectories until they either escape Callisto's gravitational attraction, return to the surface, are ionized, or are fragmented. Our density profiles show that whereas the sublimated species dominate close to the surface on the sun-lit side, their density profiles (with the exception of H and H-2) decrease much more rapidly than the sputtered particles. The Neutral gas and Ion Mass (NIM) spectrometer, which is part of the Particle Environment Package (PEP), will investigate Callisto's exosphere during the JUICE mission. Our simulations show that NIM will be able to detect sublimated and sputtered particles from both the ice and non-ice surface. NIM's measured chemical composition will allow us to distinguish between different formation scenarios. (C) 2015 Elsevier Inc. All rights reserved.

Abraham Geiger [Illustration] : Dozent 1872 - 1874

Scan von Monochrom-Mikroform

Dr. Israel Lewy [Illustration] : Dozent 1872 - 1883

Scan von Monochrom-Mikroform

Dr. David Cassel [Illustration] : Dozent 1872 - 1893

Scan von Monochrom-Mikroform

Chajim Steinthal [Illustration] : Dozent 1872 - 1899

Scan von Monochrom-Mikroform

Oberrabb. Prof. Dr. Klein [Illustration] : Hörer 1872 - 1876

Scan von Monochrom-Mikroform

Oberrabbiner Dr. Löw [Illustration] : Hörer 1872 - 1878

Scan von Monochrom-Mikroform

Rabbiner Dr. Rosenzweig [Illustration] : Hörer 1872 - 1875

Scan von Monochrom-Mikroform

Dr. Ignaz Kuranda [Illustration] : geb. 1811 - gest. 1884 ; Präsident: 1872 - 1882

Scan von Monochrom-Mikroform

Jakob Brandeis [Illustration] : geb. 1812 - gest. 1900 ; Vize-Präsident: 1872 - 1873

Scan von Monochrom-Mikroform

Aus der Geschichte des jüdischen Schulwesens in München : (1800 - 1872)

Simon Dingfelder