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Video Color Cast Detection Method Based on Super-pixel Saliency

CHENG Aoyun,CHEN Li

2017DOAJ (DOAJ: Directory of Open Access Journals)Computer Science被引 1

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摘要

For the limitations of the traditional color cast detection methods,this paper proposes a new color cast detection method based on super-pixel saliency.The video image is divided into super-pixel blocks whose luminance and color saliency are extracted.Then,the luminance saliency weight coefficient is used to realize Bayesian fusion of color saliency to get comprehensive and significant feature information.The block feature vectors are used as training samples,and Support Vector Machine(SVM) is used to reallize classification and regression training to detect color cast video and score of the degree of the video color cast.Experimental result shows that,compared with traditional color cast detection methods,the proposed method gets 95.1% accuracy and the dection result is more consistent to human eye subjective evaluations.

引用本文(GB/T 7714)

CHENG Aoyun,CHEN Li. Video Color Cast Detection Method Based on Super-pixel Saliency[J]. DOAJ (DOAJ: Directory of Open Access Journals), 2017.

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DOI:https://doi.org/10.3969/j.issn.1000-3428.2017.05.037

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