Paper
15 September 2008 Advanced super-resolution image enhancement process
Hai-Wen Chen, Dennis Braunreiter
Author Affiliations +
Abstract
An advanced SRIE (super-resolution image enhancement) process has been developed for improving image resolution, for enhancing image signal-to-noise ratio (SNR) and contrast, as well as for correcting image blur and distortion caused by atmospheric turbulence. The SRIE process is composed of five sub-processes: 1) over-sampling process, 2) image registration process, 3) image averaging process, 4) high-pass filtering process, and 5) histogram-equalization process. These five sub-processes are discussed in detail in this paper. Performance of SRIE process was tested using a long wave infrared (LWIR) imagery and charge-coupled device (CCD) camera video imagery.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hai-Wen Chen and Dennis Braunreiter "Advanced super-resolution image enhancement process", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70731B (15 September 2008); https://doi.org/10.1117/12.795372
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Image filtering

Image enhancement

Linear filtering

CCD cameras

Image registration

Signal to noise ratio

RELATED CONTENT

Model-based multispectral sharpening
Proceedings of SPIE (July 08 1994)
Image restoration versus aliased noise enhancement
Proceedings of SPIE (June 24 1994)
Integration of retinal image sequences
Proceedings of SPIE (October 01 1998)

Back to Top