A SECTOR-WISE JPEG DATA FRAGMENT CLASSIFICATION METHOD BASED ON IMAGE CONTENT ANALYSIS

摘要

In this paper, we propose a sector-wise JPEG fragment point classification approach to classify normal and erroneous JPEG data fragments with the minimum size of 512 Bytes per fragment. The contributions of this work are two-folds: 1) a sectorwise JPEG erroneous fragment classification approach is proposed 2) a new DCT coefficient analysis method is introduced for the JPEG image content analysis. Testing results on a variety of erroneous fragmented and normal JPEG files prove the strength of this operator for the purpose of foren-sics analysis, data recovery and abnormal fragment inconsistencies classification and detection. Furthermore, the results also show that the proposed DCT coefficient analysis method is efficient and practical in terms of classification accuracy. In our experiment, the proposed classifier yields a FP rate of 4.89% and a TP rate of 96.6% in terms of erroneous JPEG fragment detection.