文件名称:Image-Splicing
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Splicing operation may introduce inconsistencies in
organized as follows. In Section 2, we introduce scene
illumination estimation methods. In Section 3, the proposed
method based on illumination inconsistency is introduced.
Section 4 presents experimental results and discussion.
Section 5 concludes the paper.
many features. In the proposed method illuminant color
inconsistency is used to detect image splicing. A given color
image is divided into many overlapping blocks. Then a
classifier is used to adaptively select illuminant estimation
algorithm based on block content. Illuminant color is
estimated on each block, and the difference between the
estimation and reference illuminant color is measured. If the
difference is larger than a threshold, the corresponding block
is labeled as spliced block. Experiments show effectiveness of
the method.
organized as follows. In Section 2, we introduce scene
illumination estimation methods. In Section 3, the proposed
method based on illumination inconsistency is introduced.
Section 4 presents experimental results and discussion.
Section 5 concludes the paper.
many features. In the proposed method illuminant color
inconsistency is used to detect image splicing. A given color
image is divided into many overlapping blocks. Then a
classifier is used to adaptively select illuminant estimation
algorithm based on block content. Illuminant color is
estimated on each block, and the difference between the
estimation and reference illuminant color is measured. If the
difference is larger than a threshold, the corresponding block
is labeled as spliced block. Experiments show effectiveness of
the method.
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Image Splicing Detection Using Illuminant Color Inconsistency (1).pdf