关键词: JPEG图像, 量化噪声, 篡改检测, 高斯分布

Abstract: Doubly compression introduced by JPEG image forgery usually causes the original compression properties of the tampering region change. Therefore, it can utilize the compression property inconsistency to detect image forgery. Using the principle, this paper proposes a JPEG image forgery detection algorithm based on quantization noise. The paper blocks the image and calculates the quantization noise of each block. It gets the probabilities of the quantization noise of each image block satisfying uniform distribution and Gaussian distribution. As a consequence, the tampered regions doubly compressed are detected. The experimental results indicate that this algorithm can detect the tampering of JPEG images with double compression and locate the tampering region.

Key words: JPEG image, quantization noise, forgery detection, Gaussian distribution