Analysis iteration fast frequency spectrum extrapolation method for single image restoration

Abstract

The invention discloses an analysis iteration fast frequency spectrum extrapolation method for single image restoration, comprising an iteration system initialization process and an analysis iteration process, wherein in the iteration system initialization process, a degraded image frequency spectrum is calculated, and a primary iteration solution and a system primary parameter are set; in the analysis iteration process, the level of images and gradient information along a vertical direction are estimated by continuously elaborate gradient information threshold values in a shrinking way, a forecasting frequency spectrum is forecasted and obtained by analyzing an iteration frequency spectrum and gradient information frequency spectrum, and a high-definition image is obtained by synthetically correcting the degraded image frequency spectrum and forecasting frequency spectrum analysis through image frequency spectrum synthesis correction. The analysis iteration fast frequency spectrum extrapolation method is based on a fast Fourier transform technique, achieves the fast image restoration with little complexity through frequency spectra below cut-off frequencies and by extrapolating frequency spectra above the cut-off frequencies and has obviously superior deblurring and noise restraining capability compared with a conventional method, thereby obviously enhancing the signal-to-noise ratio; and the analysis iteration fast frequency spectrum extrapolation method is convenient to realize by utilizing image processing hardware formed by fast Fourier transform DSP chips.

Description

technical field [0001] The invention belongs to the restoration technology for a single degraded image of a space-invariant imaging system, in particular to an analytical iterative spectrum extrapolation method for restoration of a single optical remote sensing image. Background technique [0002] The theory and technology of all-weather and all-time high-resolution remote sensing imaging have received great attention and rapid development all over the world, and have become a hot spot in the development of space earth observation. In the future, remote sensing imagers will further develop towards high resolution, high signal-to-noise ratio, and lightweight. The effectiveness of remote sensing imaging applications (such as target recognition) mainly depends on the visual quality and spatial resolution of the acquired remote sensing images, and spatial resolution is an important index to measure remote sensing images. In addition, in order to obtain high-resolution images, t...

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Problems solved by technology

[0036] The purpose of the present invention is to provide an analytical iterative fast spectrum extrapolation method for single image restoration, to ensure the effective synthesis of the image passband spectrum and high-frequency spectrum with the iterative spectrum extrapolation method with analytical calculation, and to overcome the traditional method "parasitic". "Moiré effect" is obvious and the edge definition is insufficient, and the algorithm makes full use of the fast Fourier transform technology to realize the rapid restoration of the image

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