NDLI: JPEG image width estimation for file carving

Content Provider	IET Digital Library
Author	Wu, Xianyan Han, Qi Niu, Xiamu Zhang, Hongli Yiu, Siu Ming Fang, Junbin
Abstract	Image width is an important factor for making the partially recovered data perceptually meaningful in image file carving. The authors conduct a comprehensive comparison of the performance of the representative methods for estimating the JPEG image width. Experimental results show that the best methods based on pixels are always better than the best methods based on quantised discrete cosine transform (DCT) coefficients. To keep the good performance of the pixel-based methods when the correct quantisation tables are unavailable, the authors replace the correct quantisation tables with the standard ones. Experimental results certify that such a replacement has only a little effect on the performance of the pixel-based methods, the best of which still outperform the best methods based on quantised DCT coefficients. The two results indicate that it may be enough to just focus on the pixel-based methods for future work. Finally, they propose a pixel-based method, which derives the candidate image widths from the most likely adjacent minimum coded unit (MCU) pairs in the vertical direction. The candidate width which appears most frequently is chosen as the estimated image width. Experimental results show that the proposed method usually has the best performance when most MCUs of an image are recovered.
Starting Page	1245
Ending Page	1252
Page Count	8
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 7, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0531
Journal	IET Image Processing
Publisher Date	2018-03-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adjacent Minimum Coded Unit Pairs Computer Vision And Image Processing Technique DCT Coefficient Discrete Cosine Transform Image And Video Coding Image Coding Image File Carving Integral Transforms JPEG Image Width Estimation MCU Pairs Pixel-based Method Quantisation (signal) Quantisation Tables Quantised Discrete Cosine Transform Coefficient Representative Method Vertical Direction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Demystifying histograms of multi-quantised DCT coefficients

Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding

Improved algorithm for detecting zero-quantised discrete cosine transform coefficients in H.264/AVC (revised version)

Colour image compression algorithm based on the DCT transform using difference lookup table

Accurate estimation of primary quantisation table with applications to tampering detection

DHT Based JPEG Image Compression Using a Novel Energy Quantization Method

JPEG quantisation requires bit-shifts only

Reversible data hiding in JPEG images utilising zero quantised coefficients

Detection methods for blocking artefacts in transform coded images

JPEG image width estimation for file carving

Similar Documents

Demystifying histograms of multi-quantised DCT coefficients

Zero-quantised discrete cosine transform coefficients prediction technique for intra-frame video encoding

Improved algorithm for detecting zero-quantised discrete cosine transform coefficients in H.264/AVC (revised version)

Colour image compression algorithm based on the DCT transform using difference lookup table

Accurate estimation of primary quantisation table with applications to tampering detection

DHT Based JPEG Image Compression Using a Novel Energy Quantization Method

JPEG quantisation requires bit-shifts only

Reversible data hiding in JPEG images utilising zero quantised coefficients

Detection methods for blocking artefacts in transform coded images

JPEG image width estimation for file carving