An Image Splicing Localization Algorithm Based on SLIC and Image Features

Chen, Haipeng; Zhao, Changsui; Shi, Zenan; Zhu, Fuxiang

doi:10.1007/978-3-030-00764-5_56

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Noise Based Techniques1

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2019

2024

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Cited by 5 publications

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“…Hence, a localization scheme based on PCA technology was proposed by analyzing the difference of image block noise levels in Zeng et al [Zeng, Zhan, Kang (2017)]. To preserve the structure information of image content, Chen used the location algorithm combining super-pixel segmentation and noise features in the literature in Chen et al [Chen, Zhao, Shi et al (2018)].…”

Section: Noise Based Techniquesmentioning

confidence: 99%

Splicing Image and Its Localization: A Survey

Wang¹,

Li²

2019

Journal of Information Hiding and Privacy Protection

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With the rapid development of information technology, digital images have become an important medium for information transmission. However, manipulating images is becoming a common task with the powerful image editing tools and software, and people can tamper the images content without leaving any visible traces of splicing in order to gain personal goal. Images are easily spliced and distributed, and the situation will be a great threat to social security. The survey covers splicing image and its localization. The present status of splicing image localization approaches is discussed along with a recommendation for future research.

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Section: Noise Based Techniquesmentioning

confidence: 99%