Image quality discrimination method based on remote sensing image phase correlation

Abstract

The invention discloses an image quality discrimination method based on remote sensing image phase correlation. The method comprises the following steps: pretreating a remote sensing image to obtain a periodic component frequency spectrum of the remote sensing image; adding N random phases in the periodic component frequency spectrum of the remote sensing image to form N remote sensing images added with the random phases; carrying out discrete inverse Fourier transform to obtain N time domain remote sensing images; calculating total variation values and phase related values of the N time domain remote sensing images peru1, peru2,..., peruN; and utilizing the image phase related values to carry out quality judgment on multiple remote sensing images. The method is a reference-free digital image quality judgment method without any reference image data and is more suitable for satellite remote sensing images. Compared with other reference-free quality judgment methods, the method provided by the invention is adaptive to various quality-reducing factors, and is not affected by ring, noise and other quality reducing factors.

Description

technical field [0001] The invention relates to a method for discriminating image quality, in particular to a method for discriminating image quality based on phase correlation of remote sensing images, and belongs to the technical field of satellite remote control engineering. Background technique [0002] Image is an important source of information for human perception and machine pattern recognition, and image quality plays a decisive role in the adequacy and accuracy of acquired information. Satellite remote sensing surveys have the characteristics of high viewpoint, wide field of view, fast data collection, repetition, and continuous observation, and the acquired images can directly enter the user's computer image processing system, but in the process of remote sensing image collection, compression, processing, transmission, etc. The problem of image degradation will occur in both images, which greatly affects the development of satellite remote sensing technology. How...

AI Technical Summary

Problems solved by technology

[0005] The technical problem of the present invention is: to overcome the deficiencies of the prior art, to provide an image quality discrimination method based on the phase correlation of remote sensing images, and to adopt a no-reference discrimination method, which overcomes the current image quality discrimination method which is susceptible to blur, noise and vibration. The problem of the influence of the bell has a certain universality to the degrading factors

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