Perceptual Hashing-Based Image Copy-Move Forgery Detection

Abstract

This paper proposes a blind authentication scheme to identify duplicated regions for copy-move forgery based on perceptual hashing and package clustering algorithms. For all fixed-size image blocks in suspicious images, discrete cosine transform (DCT) is used to obtain their DCT coefficient matrixes. Their perceptual hash matrixes and perceptual hash feature vectors are orderly addressed. Moreover, a package clustering algorithm is proposed to replace traditional lexicographic order algorithms for improving the detection precision. Similar blocks can be identified by matching the perceptual hash feature vectors in each package and its adjacent package. The experimental results show that the proposed scheme can locate irregular tampered regions and multiple duplicated regions in suspicious images although they are distorted by some hybrid trace hiding operations, such as adding white Gaussian noise and Gaussian blurring, adjusting contrast ratio, luminance, and hue, and their hybrid operations.

Robust image hashing with visual attention model and invariant moments

“…Image hashing can efficiently process image data due to the low costs of hash storage and hash similarity. Besides image copy detection, it has been successfully applied to many applications, such as copy‐move forgery detection [5, 6], image forensics [7], image authentication [8, 9], image quality assessment [10], social event detection [11] and tamper detection [12]. In the literature, many useful techniques are exploited to design efficient image hashing algorithms for various applications.…”

Keypoint based comprehensive copy‐move forgery detection

“…Then SURF and PCT features are extracted from labelled keypoints. Wang et al [20] have used SURF features and PCET for finding keypoints of images and detect tapered regions. They can detect geometrically transformed image but for higher scale change is a challenge which they can not detect.…”

Copy-Move Image Forgery Detection using Adhoc Algorithm

“…Different parametric values are used analyze the proposed technique. Huan Wang and Hongxia Wang [5] proposed efficient method to detect the tampered image. Based on package clustering and perceptual hashing algorithms duplicate regions were found.…”