1 October 1992 Multiresolution image decomposition for processing reconnaissance images
Author Affiliations +
Abstract
Recent increases in focal plane size and spatial resolution, coupled with the introduction of multi-spectral sensor suites in tactical reconnaissance platforms, have exponentially increased the volume of image data to be processed. This paper proposes the use of a quadrature mirror filter compression technique whereby intrinsic multiresolution pyramid decomposition can simplify implementation of many of the algorithms required to exploit these images. A subband coding system, based on the spatial frequency and orientation of the decomposed images, is presented. Implementation of additional algorithms based on multiresolution pyramid decomposition is also discussed. These algorithms include: edge detection and restoration, real-time minification of large E-O images for screening purposes and interpolation with electronic zooming for target identification.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. Garton Lewis, H. Garton Lewis, William B. Forsyth, William B. Forsyth, } "Multiresolution image decomposition for processing reconnaissance images", Proc. SPIE 1705, Visual Information Processing, (1 October 1992); doi: 10.1117/12.138471; https://doi.org/10.1117/12.138471
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT

Noise reduction techniques for Bayer-matrix images
Proceedings of SPIE (April 24 2002)
Optimal change detection in misregistered image sequences
Proceedings of SPIE (February 25 1994)
Missing pixel correction algorithm for image sensors
Proceedings of SPIE (September 07 1998)
Edge Detection Based On Multi-Edge Models
Proceedings of SPIE (April 11 1988)

Back to Top