Image quality evaluation method and system

Abstract

The embodiment of the invention provides an image quality evaluation method and system. The method comprises the steps of: obtaining gray contrast of an image to be measured according to a Bhattacharyya distance between a grey level histogram of an area of interest and a grey level histogram of a peripheral area; obtaining first texture features according to average texture features of the area ofinterest after filtering and polarity texture features of the area of interest after filtering; obtaining second texture features according to average texture features of the peripheral area after filtering and polarity texture features of the peripheral area after filtering; obtaining texture contrast of the image to be measured according to a Bhattacharyya distance between the first texture features and the second texture features; and obtaining the probability of detecting a target in the image to be detected according to the gray contrast and the texture contrast. Starting from the gray features and the texture features of the image, the image quality evaluation method and system comprehensively consider the detection conditions of tiny target features and employ gray and texture features to enhance the robustness and the applicability of the image evaluation method.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image quality evaluation method and system. Background technique [0002] With the continuous development of optical remote sensing and airborne imaging technology, the optical remote sensing images or airborne images that can be obtained are becoming more and more refined. However, in the process of acquiring images, due to the influence of factors such as the parameters of the imaging device itself, the shaking of the platform, and the weather conditions of the imaging, the quality of the image will inevitably be reduced. By evaluating the images in different situations, the factors affecting the imaging quality can be analyzed, and the imaging performance of the system with given parameters can be evaluated. [0003] Generally, image evaluation includes subjective evaluation and objective evaluation. Subjective evaluation requires the p...

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Problems solved by technology

[0006] The embodiment of the present invention provides an image quality evaluation method and system, which is used to solve the poor applicability of the image evaluation method in the prior art and realize targeted evaluation of optical remote sensing images or airborne images

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