
CLC number:
On-line Access: 2026-03-30
Received: 2025-11-16
Revision Accepted: 2026-03-06
Crosschecked: 0000-00-00
Cited: 0
Clicked: 27
Binglong LI1, Shilong YU1, Yong ZHAO2, Yifeng SUN1, Chaowen CHANG1, Qingxian WANG1. Image fragment carving based on DCT semantics and a adjustment factor[J]. Journal of Zhejiang University Science C, 1998, -1(-1): .
@article{title="Image fragment carving based on DCT semantics and a
adjustment factor",
author="Binglong LI1, Shilong YU1, Yong ZHAO2, Yifeng SUN1, Chaowen CHANG1, Qingxian WANG1",
journal="Journal of Zhejiang University Science C",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/ENG.ITEE.2025.0140"
}
%0 Journal Article
%T Image fragment carving based on DCT semantics and a
adjustment factor
%A Binglong LI1
%A Shilong YU1
%A Yong ZHAO2
%A Yifeng SUN1
%A Chaowen CHANG1
%A Qingxian WANG1
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 1869-1951
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/ENG.ITEE.2025.0140
TY - JOUR
T1 - Image fragment carving based on DCT semantics and a
adjustment factor
A1 - Binglong LI1
A1 - Shilong YU1
A1 - Yong ZHAO2
A1 - Yifeng SUN1
A1 - Chaowen CHANG1
A1 - Qingxian WANG1
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 1869-1951
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/ENG.ITEE.2025.0140
Abstract: The recovery of evidence from fragmented image files is a prominent research focus in the field of file carving. To
address image fragment reassembly, this paper analyzes the Joint Photographic Experts Group (JPEG) image structure and
proposes a fragment connection weighting algorithm based on discrete cosine transform (DCT) semantic features, along with
a weight adjustment factor that leverages image compression characteristics. By integrating these components, the algorithm
effectively determines the fragment sequence in JPEG files, and a practical carving algorithm is designed. Experiments conducted
on disk and memory demonstrate that the adjustment factor-based algorithm outperforms the DCT-only method in identifying
true best matches (reducing false positives). Disk experiments achieve an average carving precision of 94.4%, surpassing existing
methods, while memory experiments validate the feasibility of the approach, along with a theoretical analysis of failure scenarios
caused by interference from software such as Windows Picture Viewer
Open peer comments: Debate/Discuss/Question/Opinion
<1>