activity
20202025
most citedContent-Aware Automated Parameter Tuning for Approximate Color Transforms

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2025

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It

Janith Petangoda, Chatura Samarakoon, James Meech +5

Computing systems interacting with real-world processes must safely and reliably process uncertain data. The Monte Carlo method is a popular approach for computing with such uncert…

eess.SY2025

Sensitivity Analysis of the Laser Power Control System to Measurement Noise in SLS 3D Printers

Hamid Toshani, Janith Petangoda, Chatura Samarakoon +1

Uniform temperature distribution in Selective Laser Sintering (SLS) is essential for producing durable 3D prints. Achieving uniformity requires a laser power control system that mi…

eess.SY2024

Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty

Jennie Couchman, Orestis Kaparounakis, Chatura Samarakoon +1

Independent Component Analysis (ICA) is commonly-used in electroencephalogram (EEG) signal processing to remove non-cerebral artifacts from cerebral data. Despite the ubiquity of I…

cs.HC2020★ 1 cited

Content-Aware Automated Parameter Tuning for Approximate Color Transforms

Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell

There are numerous approximate color transforms reported in the literature that aim to reduce display power consumption by imperceptibly changing the color content of displayed ima…

q-bio.QM2020

Inferring Human Observer Spectral Sensitivities from Video Game Data

Chatura Samarakoon, Gehan Amaratunga, Phillip Stanley-Marbell

With the use of primaries which have increasingly narrow bandwidths in modern displays, observer metameric breakdown is becoming a significant factor. This can lead to discrepancie…