A color cast detection algorithm of robust performance

Fangzhou Li, Jinyong Wu, Yike Wang, Yong Zhao, Xing Zhang
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引用次数: 11

Abstract

In order to overcome the limit of traditional methods in image cast detection, a new cast detection approach with robust performance is presented. The algorithm by using digital image analysis is used to analyze the characteristics of the image itself. Especially the algorithm introduces image texture information to cast factor K. The new technique of evaluating cast detection not only is able to accurately detect cast images, but also to avoid taking normal images estimate into cast images, and enhances the detection accuracy and reliability. The performance is more robust. The experiment results show that by testing many different images, the proposed method and the subjective evaluation results are in good agreement.
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一种鲁棒性能的色偏检测算法
为了克服传统图像偏形检测方法的局限性,提出了一种具有鲁棒性的图像偏形检测方法。该算法通过数字图像分析来分析图像本身的特征。特别是该算法将图像纹理信息引入到铸态因子k中,这种新的铸态检测评估技术不仅能够准确地检测铸态图像,而且避免了在铸态图像中进行正常的图像估计,提高了检测的准确性和可靠性。性能更加稳健。实验结果表明,通过对多幅不同图像进行测试,所提出的方法与主观评价结果吻合较好。
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