Paper
14 November 2007 Remote sensing stereo image pair spatial resolution improvement with iterative maximum a posteriori scheme based on PSF measurement
Tao Sun, Liyu Lin, Zhigao Yang, Tiancan Mei, Qianqing Qin
Author Affiliations +
Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67901T (2007) https://doi.org/10.1117/12.749348
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
The stereo image pair taken from different positions, theoretically the redundant information and disparity allows to reconstruction higher resolution images and reduces the aliasing artifacts. We present an improved hybrid MAP (Maximum a Posteriori) restoration algorithm for stereo image pair combined PSF (Point Spread Function) measurement and iterative registration parameters updated scheme. With the regularity parameter choice based on L-curve, this method preserves discontinuity efficiently. The reconstruction images quality lies on the accurate registration, the PSF non-bias estimation and regulation parameters choice. In this paper, an MTF (Modulation Transfer Function) measure and spatial profile methods are presented for reconstruction images quality estimation. A simulation and a real-data experiment demonstrate the performance of the algorithm.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Sun, Liyu Lin, Zhigao Yang, Tiancan Mei, and Qianqing Qin "Remote sensing stereo image pair spatial resolution improvement with iterative maximum a posteriori scheme based on PSF measurement", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901T (14 November 2007); https://doi.org/10.1117/12.749348
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KEYWORDS
Point spread functions

Reconstruction algorithms

Image registration

Spatial resolution

Super resolution

Image resolution

Modulation transfer functions

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