Impact of JPEG compression on the metrological characteristics of industrial CT data
The basis of metrology with computed tomography (CT) are volume datasets with increasing sizes in the two- or three-digit GB range due to the increasing detector resolutions in the double-digit MPixel range. Handling these large amounts of data poses a considerable challenge in metrology in terms o...
Saved in:
Main Authors: | Steffen Kieß, Robin Trostorf, Hieu Tran, Jajnabalkya Guhathakurta, Sven Simon, Ulrich Neuschaefer-Rube |
---|---|
Format: | Article |
Language: | deu |
Published: |
NDT.net
2025-02-01
|
Series: | e-Journal of Nondestructive Testing |
Online Access: | https://www.ndt.net/search/docs.php3?id=30716 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Surface Quality Monitoring and Improvement for Dimensional Metrology in Inline CT by Denoising with Neural Networks and Fast Surface Quality Metric
by: Faizan Ahmad, et al.
Published: (2025-02-01) -
Enhancing Image-Based JPEG Compression: ML-Driven Quantization via DCT Feature Clustering
by: Shahrzad Sabzavi, et al.
Published: (2025-01-01) -
Deep Incremental Angle Refinement Model for Limited-Angle CT Reconstruction - A Case Study on Concrete Specimens
by: Xingyu Liu, et al.
Published: (2025-02-01) -
Scalable Video Streaming Based on JPEG2000 Transcoding with Adaptive Rate Control
by: Anthony Vetro, et al.
Published: (2007-01-01) -
Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies
by: Bo Liu, et al.
Published: (2014-01-01)