Rail transit video monitoring image enhancement algorithm

The invention provides a rail transit video monitoring image enhancement algorithm which comprises the following steps: S1, dividing an image into two color lumps and two edge components which respectively correspond to a frequency domain, a low-frequency component of the image corresponding to the...

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Bibliographische Detailangaben
Hauptverfasser: YANG WANGWEI, LIAN LEI, JIANG CHUNHUA, GUAN CAILU, ZHAO JIAJIA, ZHAO JIAN, JIA PING
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention provides a rail transit video monitoring image enhancement algorithm which comprises the following steps: S1, dividing an image into two color lumps and two edge components which respectively correspond to a frequency domain, a low-frequency component of the image corresponding to the color lumps and a high-frequency component of the image corresponding to edge details; s2, enhancingthe low-frequency component by using global adaptive gamma correction, and enhancing the high-frequency component by using Fourier transform; and S3, superposing the enhancement images correspondingto the low-frequency component and the high-frequency component to obtain an output image. The invention belongs to a high-frequency and low-frequency separated brightness adjustment algorithm. Low-frequency and high-frequency images are respectively enhanced by adopting respective suitable different methods, so that a better result can be obtained. 本发明提出了一种轨道交通视频监控图像增强算法,包括以下步骤:S1、将一幅图像分为两个色块和边缘两分量,且分别对应到频域,色块对应图像的低频分量,边缘