MTF Compensation Method Utilizing the Curved Edge for High-resolution Satellite Image Recovery

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. Choosing a proper curve edge is most important step in image reconstruction. A curve edge, even irregular in shape, from which a better edge spread function (ESF) can be obtained, is automatically picked up from the edge information according to the neighborhood features of the image first. The estimated MTF derived from the above ESF is employed to deconvolute the degraded image. To suppress the artifacts and noise, the total variation (TV) method is applied in reconstruction as well. The advantage of this algorithm is that a curve edge is chosen automatically and robustly among many candidate edges, which can provide a higher precision in comparison to straight edge. The experiments show that this algorithm is suitable to recover a high-resolved image with a high signal-to-noise ratio (SNR) from a degraded remote sensing image.