High-resolution satellite image recovery by modulation transfer function (MTF) compensation method using phase congruency estimation

Xiaopeng Shao; Hong Yang; Shaohui Zhang; Zhenhua Jin; Juan Du

doi:10.1117/12.2022831

24 September 2013 High-resolution satellite image recovery by modulation transfer function (MTF) compensation method using phase congruency estimation

Xiaopeng Shao, Hong Yang, Shaohui Zhang, Zhenhua Jin, Juan Du

Author Affiliations +

Proceedings Volume 8871, Satellite Data Compression, Communications, and Processing IX; 88710O (2013) https://doi.org/10.1117/12.2022831
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Satellite imagery always has low-resolution causing poor application in practice because the serious degradation in imaging is resulted in many factors such as atmospheric turbulence, cloud, and aberration of optical system. To reconstruct the degraded remote sensing images with a high quality, we designed an algorithm to estimate the system modulation transfer function (MTF) accurately. Phase congruency is employed to detect the edges and corners of the image first, then the significant edges, which are utilized to estimate the edge spread function (ESF) using inclined edge method, are picked up from above features through a certain line detection measurement. An image restoration algorithm based on total variation (TV) is introduced to deconvolute the degraded image with the estimated MTF which is derived from the ESF. The experiments show that this method is adaptive and efficient to recover the remote sensing images taken from a Chinese Satellite. The restored images with a higher resolution and higher signal-to-noise ratio (SNR) will improve the applications greatly.

Citation Download Citation

Xiaopeng Shao, Hong Yang, Shaohui Zhang, Zhenhua Jin, and Juan Du "High-resolution satellite image recovery by modulation transfer function (MTF) compensation method using phase congruency estimation", Proc. SPIE 8871, Satellite Data Compression, Communications, and Processing IX, 88710O (24 September 2013); https://doi.org/10.1117/12.2022831

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