A method for compensating for modulation transfer function of high-resolution satellite images

Abstract

A method for compensating for modulation transfer function of high-resolution satellite images is provided, which relates to the design of MTFC (Modulation Transfer Function Compensation) processing method for domestic high resolution satellite images. The invention solves the problems that the prior image compensation method leads to the degradation of the image signal-to-noise ratio, the noise amplification, the low quality of the restored image, and the high computational complexity in the restoration process. The invention improves from two stages of the point spread function calculation and the image deconvolution restoration. Compared with the traditional pixel-level edge detection method, the precision of sub-pixel edge detection is higher. The high precision can ensure the accuracyof the subsequent edge spread function, line spread function and even the final point spread function. In the process of image deconvolution restoration, for the GPU and multithreaded optimization ofthe maximum likelihood iterative deconvolution algorithm, the windowing radius is calculated according to the point spread function radius, and the ultra-high resolution remote sensing image is windowed and divided into blocks, which effectively removes the influence of boundary ringing and further improves the computational efficiency.

Description

technical field [0001] The invention relates to the design of a domestic high-resolution satellite image MTFC (modulation transfer function compensation) processing method, in particular to a high-resolution satellite image modulation transfer function compensation method based on an improved inclined edge method. Background technique [0002] During the imaging process of remote sensing images, affected by factors such as the atmospheric environment, optical system, detectors, platform movement, and circuits, the image will be degraded, the image will be blurred, and the image quality of the image will be reduced. Image restoration is to remove or reduce the The image quality degradation that occurs makes the image tend to be an ideal image without degradation. Most of the current image restoration methods are based on the point spread function, and there may be many reasons for image degradation, such as the nonlinearity of the photoelectric sensor, the relative motion bet...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a high-resolution satellite image modulation transfer function compensation method to solve the problems that the existing image compensation method causes the image signal-to-noise ratio to decrease, the noise is amplified, the quality of the restored image is low, and the calculation complexity is relatively high in the restoration process.

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