ABSTRACT
This chapter describes the techniques of copy–cover image forgery detection. It reviews watermarking technique for image authentication and outlines image splicing detection. The chapter presents four copy–cover detection methods, including principal component analysis (PCA), discrete cosine transform (DCT), spatial domain, and statistical domain. It explores the four copy–cover detection methods, and provides the effectiveness and sensitivity under variant additive noises and lossy Joint Photographic Experts Group (JPEG) compressions. N. K. Kalantari et al. proposed a robust watermarking algorithm in the ridgelet domain by modifying the amplitude of the ridgelet coefficients to resist additive white noise and JPEG compression. The copy–cover technique is the most popular technique for making image forgery. J. Fridrich et al. presented an effective copy–cover forgery detection algorithm using DCT and quantization techniques. Ju et al. adopted PCA for small image blocks with fixed sizes, and generates the degraded dimensions representation for copy–cover detection.
