Digital Image Forensic Method Using Image Invariant Feature and Region Correlation

• Main Authors: Jhan-Jhang Liao, 廖展章
• Other Authors: 郭天穎
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/9xum86

碩士 === 國立臺北科技大學 === 電機工程系研究所 === 100 === With the coming of age of the digital era, it brings us a colorful digital life. However, the authenticity of digital image has become an important issue as the digital image is easily modified. Region duplication is a common and simple way to modify or tamper the digital image. The recent methods proposed in literature are based on spare image invariant feature (such as SIFT, SURF), and can effectively detect the geometric and brightness tampering. However, they fail to detect the tampering when the image invariant feature is inadequate, and often misclassify the original contents as the duplication tampering when the image contains the intrinsic repeated elements. Our method proposes a modified SIFT algorithm, an image invariant feature clustering analysis, and local outlier detection to improve the above problem. In order to locate the tampering region, we design an adaptive tampering locating method based on image local region correlation and image texture feature. We evaluate our proposed approach on tampered images with and without intrinsic repeated elements, and the geometry and brightness of the tampered duplicated region is further altered by an automatic forgery program. The experimental results and analyses demonstrate that our proposed method is robust and effective in region duplication detection.