关键词: 数字图像取证, 源相机识别, 模式噪声, 噪声方差, 模糊聚类

Abstract: In allusion to source camera identification, a novel method is proposed with noise variance and texture complexity analysis. Concerning CFA interpolation and wavelet-based denoising, the insufficiency of traditional methods for extracting pattern noise is discussed first. Afterwards, the discussion is focused on the new extraction method according to noise variance and removing complex textured areas using fuzzy clustering. Experiments show that the extracted pattern noise not only reflects camera’s pattern noise well, but also improves the average accuracy with 6.3% for identifying images from three different camera models.

Key words: digital image forensics, source camera identification, pattern noise, noise variance, fuzzy clustering