학술논문

Unsupervised Lateral Chromatic Aberration (LCA) detection and correction for improved image fidelity
Document Type
Conference
Source
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH) INFOTEH-JAHORINA (INFOTEH), 2023 22nd International Symposium. :1-6 Mar, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Optical losses
Image resolution
Image color analysis
Image edge detection
Focusing
Optical imaging
Real-time systems
Lateral chromatic aberration
correction model
artifacts reduction
resolution loss
blind correction
Language
ISSN
2767-9470
Abstract
Lateral Chromatic Aberration is a defect of optical lenses in connection with focusing different wavelengths of light (red, blue, green) at different locations in the focal plane, which leads to resolution loss and color artifacts (fringes). To preserve image fidelity, we have developed a robust multi-phase unsupervised method (not using a reference image for calibration and without prior knowledge of the lens), that is based on edge matching in different color planes. We are able to estimate parameters of a lateral chromatic aberration correction model, which is then used to avoid these artefacts by correct resampling of red and blue color planes with sub-pixel accuracy. This method is suitable for real-time implementation in consumer-grade image/video systems and shows very promising results.