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• W2022141298 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." @default.
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• W2022141298 date "2013-09-24" @default.
• W2022141298 modified "2023-09-23" @default.
• W2022141298 title "High-resolution satellite image recovery by modulation transfer function (MTF) compensation method using phase congruency estimation" @default.
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• W2022141298 doi "https://doi.org/10.1117/12.2022831" @default.
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