Method for improving quality of remote sensing images
A remote sensing image and quality technology, applied in the field of image processing, can solve the problems of inconspicuous texture information, low contrast, and poor image visual effect, and achieve the effects of enhancing noise resistance, image clarity, and detail information
Active Publication Date: 2018-01-19
XINJIANG UNIVERSITY
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Problems solved by technology
However, in the acquisition of remote sensing images, due to interference from factors such as sensors and the environment, some images may have problems such as poor visual effects, indistinct texture information, and low contrast.
Seriously affected the speed and accuracy of people's access to information
Method used
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[0015] Features and exemplary embodiments of various aspects of the invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by showing examples of the present invention. The present invention is by no means limited to any specific configurations and algorithms presented below, but covers any modification, substitution and improvement of elements, components and algorithms without departing from the spirit of the invention. In the following description, well-known structures and techniques have not been shown in order to avoid unnecessarily obscuring the present invention.
[0016] Example em...
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The embodiment of the invention provides a method for improving the quality of remote sensing images. The method comprises the steps that an original remote sensing image and a remote sensing image obtained after histogram equalization are decomposed through non-subsampled shearlet transform to obtain a low-frequency sub-band and a high-frequency sub-band respectively; 2, the low-frequency sub-band obtained after histogram equalization is subjected to PM filtering, the high-frequency sub-band of the original image is subjected to rotation threshold denoising and then subjected to guidance filtering; 3, and the low-frequency sub-band and the high-frequency sub-band which are obtained after processing are subjected to non-subsampled shearlet inverse transform. The technical scheme has the following advantages that PM filtering is used for the low-frequency sub-band, guidance filtering is used for the high-frequency sub-band, and a new remote sensing image algorithm based on non-subsampled shearlet transform is proposed; and by means of processing on a non-subsampled shearlet transform threshold, maximum noise filtering and the guidance filtering process, detail information of the images is enhanced, the resolution of the images is improved, and the anti-noise property of the images is enhanced.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a method for improving the quality of remote sensing images by using non-subsampling shearlet transform and guided filtering technology. Background technique [0002] With the wide application of remote sensing images in various fields, such as military, geology, and astronomy, the demand for high-quality remote sensing images increases rapidly. However, in the acquisition of remote sensing images, due to the interference of sensors and environmental factors, some images may have poor visual effects, indistinct texture information, and low contrast. Seriously affected the rapidity and accuracy of people's access to information. Therefore, image enhancement is particularly important as one of the main steps of image preprocessing. Contents of the invention [0003] In view of the technical problems described above, the embodiment of the present invention provides a me...
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IPC IPC(8): G06T5/10
Inventor 韩晶贾振红
Owner XINJIANG UNIVERSITY