Results 61 to 70 of about 1,535 (206)
Encoding Occupancy in Memory Location for Efficient and Compact High‐Resolution Voxel Structures
Computer Graphics Forum, EarlyView.We encode information about geometric structure into the pointers of a sparse voxel directed acyclic graph (SVDAG). Each pointer carries information about the structure of the node it points to. Our encoding improves ray tracing performance and reduces model size in memory.
Jaina Modisett, Markus Billeter
wiley +1 more source
GENERIC LOSSLESS VISIBLE WATERMARKING BY USING TRANSLUCENT AND MONOCHROME METHOD
, 2020 Images make up a major component of multimedia content. Digital arts, illustrative diagrams, cultural heritage paintings in digitized for and digital photographs are examples of images. Advances in computing hardware, software, and computer networks have
Narayana, M. Lakshmi +2 more
core +1 more source
Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG
Computer Graphics Forum, EarlyView.Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann +2 more
wiley +1 more source
Noisy Graph Patterns via Ordered Matrices
Computer Graphics Forum, EarlyView.Abstract The high‐level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard.
J. Wulms, W. Meulemans, B. Speckmann
wiley +1 more source
Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation [PDF]
, 2012 Sparse representations accurately model many real-world data sets. Some form of sparsity is conceivable in almost every practical application, from image and video processing, to spectral sensing in radar detection, to bio-computation and genomic signal ...
Khajehnejad, M. Amin
core +1 more source
Video frame interpolation based on invertible neural network for Internet of things
Digital Communications and NetworksVideo frame interpolation focuses on directly synthesizing intermediate frames by utilizing inter-frame changes, relying heavily on large, high-frame-rate video datasets for supervised training, which imposes significant demands on bandwidth and ...
Lingfan Wu +4 more
doaj +1 more source
Information Encryption in Ghost Imaging With Customized Data Container and XOR Operation
IEEE Photonics Journal, 2017 The conventional ghost-imaging-based encryption (GIE) scheme has low-quality decrypted images and unsatisfied security. In this paper, we propose to cope with these issues using customized data container and exclusive-OR (XOR) operation.
Yi Qin, Yingying Zhang
doaj +1 more source
Journal of Microscopy, EarlyView.Abstract As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dynamics using structured, community‐developed checklists from the Quality Assessment and Reproducibility for Instruments and Images in Light Microscopy (QUAREP‐LiMi) initiative.
Martin Schätz, Ko Sugawara
wiley +1 more source
Importance of Watermark Lossless Compression in Digital Medical Image Watermarking [PDF]
, 2015 Large size data requires more storage space, communication time, communication bandwidth and degrades host image quality when it is embedded into it as watermark. Lossless compression reduces data size better than lossless one but with permanent loss of
Syifak Izhar, Hisham +4 more
core
Advanced Science, Volume 13, Issue 33, 15 June 2026.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source