MTF compensation method utilizing the curved edge for high-resolution satellite image recovery

Qiuhua Luo; Lin Wang; Hong Yang; Shaohui Zhang; Xiaopeng Shao

doi:10.1117/12.2051573

22 May 2014 MTF compensation method utilizing the curved edge for high-resolution satellite image recovery

Qiuhua Luo, Lin Wang, Hong Yang, Shaohui Zhang, Xiaopeng Shao

Proceedings Volume 9124, Satellite Data Compression, Communications, and Processing X; 91240D (2014) https://doi.org/10.1117/12.2051573
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The low resolved satellite images caused by serious degradation in remote sensing weaken its utilities in practice. An effective algorithm of high resolution remote sensing image reconstruction is proposed to recover the degraded images using a precise estimated modulated transfer function (MTF) of the imaging system from a curve knife edge. The curve edge is chosen automatically and robustly among many candidate edges, which can provide a higher precision in comparison to straight edge. To suppress the artifacts and noise, the total variation (TV) method is applied as well. The experiments show this algorithm is suitable to recover a high-resolved image with a high signal-to-noise ratio (SNR).

Citation Download Citation

Qiuhua Luo, Lin Wang, Hong Yang, Shaohui Zhang, and Xiaopeng Shao "MTF compensation method utilizing the curved edge for high-resolution satellite image recovery", Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 91240D (22 May 2014); https://doi.org/10.1117/12.2051573

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