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A Multi-Layer Model for Adaptive Pre-processing of Panoramic Images

机译：全景预处理的自适应预处理多层模型

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—Panoramic image pre-processing is one of key technologies in subsequent image processing and applications. An adaptive pre-processing multi-layer model for the sequences of panoramic images formed by six cameras is proposed in this paper. The algorithm develops a luminance classification criterion for different level of panoramic image based on the distribution of the statistical characteristics and threshold judgment. The criterion is able to cope with the image pre-processing effectively and stably when luminance altered. By this method, each pixel is adaptive based on illumination levels, resulting in the development of visual effect. Experiment results show that the proposed algorithm can significantly improve the quality of 3D panoramic images in complex environments.
机译：-Panoramic图像预处理是后续图像处理和应用中的关键技术之一。本文提出了由六个摄像机形成的全景图像序列的自适应预处理多层模型。该算法基于统计特征的分布和阈值判断，对不同水平的全景图像进行亮度分类标准。当亮度改变时，标准能够在有效且稳定地应对图像预处理。通过这种方法，每个像素基于照明水平自适应，导致显影效果的发展。实验结果表明，该算法可以显着提高复杂环境中的3D全景图像的质量。

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