Remote sensing image enhancement method

Abstract

The invention discloses a remote sensing image enhancement method, which comprises the steps of 1) performing sampling on an original remote sensing image, and performing normalization processing so as to acquire a normalized sampling image; 2) combining image pixel correlation and quantum signal processing so as to define the black and white probability of pixels to construct an enhancement operator, and acquiring a pre-enhanced image; 3) adaptively determining an optimal gray threshold of the enhancement operator according to a maximum information entropy principle of the pre-enhanced image; and 4) acquiring an enhanced image by using the enhancement operator again according to the optimal gray threshold. The remote sensing image enhancement method introduces a quantum bit expression mode to represent the black and white probability of image pixels, thereby having high adaptability. The optimal gray threshold is adaptively determined according to the maximum information entropy principle of the pre-enhanced image acquired after enhancement, thereby avoiding continuously artificial debugging, comprehensively considering global and local information of the image, effectively enhancing the contrast ratio of the image, suppressing noise interference to a certain extent, and improving the quality of the image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a remote sensing image enhancement method. Background technique [0002] With the rapid development of information technology, human cognition of remote sensing and the urgent need for scientific development, the improvement of resolution and in-depth application have gradually become a major demand for the development of remote sensing science and technology. However, due to the lack of machinery and equipment itself and environmental factors such as lighting, remote sensing images are blurred and the image quality is rough. Therefore, an effective remote sensing image enhancement algorithm plays an important role in making blurred images clear. [0003] The traditional image enhancement algorithm uses the mean filter method and histogram equalization method, but the mean filter method is easy to cause image blur. Although the histogram equalization method can enhance ...

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Problems solved by technology

[0003] The traditional image enhancement algorithm uses the mean filtering method and the histogram equalization method, but the mean filtering method is easy to cause image blurring. Although the histogram equalization method can enhance the contrast of the image, it is also easy to generate noise in the boundary area of ​​the target image.

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