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Image splicing forgery detection: A review

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Abstract

Image splicing forgery is a prevalent form of digital image manipulation where various portions from one or multiple images are combined to create a deceptive image that appears genuine. Detecting image splicing forgery is crucial for verifying the authenticity of an image. Image splicing forgery detection has grown significantly in recent years, with numerous detection approaches proposed in the literature. This paper presents a comprehensive survey and classification of existing image splicing forgery detection approaches, focusing on 2014 to 2023. This study reviews 88 research papers on splicing in the context of image forgery detection. A generalized structure is introduced, outlining the typical stages involved in the detection process. The paper thoroughly reviews the literature, providing an overview of both hand-crafted and advanced detection approaches researchers propose. Benchmark datasets are identified, including their limitations. The objective is to provide a clear and comprehensive understanding of image splicing forgery detection for researchers and practitioners interested in this area. This survey is a valuable resource, offering insights into the field’s current state and highlighting areas for future research and development.

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Data Availability

It is not applicable to this article as no datasets were generated or analyzed during the current study.

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  1. GLA, University, Mathura, Uttar Pradesh, 281406, India

    Ritesh Kumari & Hitendra Garg

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Kumari, R., Garg, H. Image splicing forgery detection: A review. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18801-z

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