Constrained Visual Representation Learning with Bisimulation Metrics for Safe Reinforcement Learning

R Wang, Y Cheng, X Wang - IEEE Transactions on Image …, 2025 - ieeexplore.ieee.org
Safe reinforcement learning aims to ensure the optimal performance while minimizing
potential risks. In real-world applications, especially in scenarios that rely on visual inputs, a …

Super-Resolution of Color Halftone Images Using Convolutional Neural Networks

GAS Novaes, HY Kim - IEEE Access, 2024 - ieeexplore.ieee.org
In this work, we investigate how to increase the resolution of color halftone images using
convolutional neural networks (CNNs). As far as we know, this is the first work that increases …

Fast halftoning policy network with error feedback

H Jiang, D Xiong, A Yin, L Ding… - Journal of Electronic …, 2023 - spiedigitallibrary.org
Deep learning-based halftoning methods have demonstrated their abilities in dithering
images with desired blue-noise properties. However, tons of parameters and computations …

A Comprehensive Analysis of Dithering Algorithms and GPU Implementations

RV Kulkarni, A Deshpande, P Dagale… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
This research paper conducts a thorough comparative analysis of various dithering
algorithms, prioritizing the GPU-optimized Floyd-Steinberg algorithm. Dithering plays a …