Paper Info
Title
Recovering missing coefficients in DCT-transformed images
Abstract
A general method for recovering missing DCT coefficients in DCT-transformed images is presented in this work. We model the DCT coefficients recovery problem as an optimization problem and recover all missing DCT coefficients via linear programming. The visual quality of the recovered image gradually decreases as the number of missing DCT coefficients increases. For some images, the quality is surprisingly good even when more than 10 most significant DCT coefficients are missing. When only the DC coefficient is missing, the proposed algorithm outperforms existing methods according to experimental results conducted on 200 test images. The proposed recovery method can be used for cryptanalysis of DCT based selective encryption schemes and other applications.
Year
DOI
Venue
2012
10.1109/ICIP.2011.6115738
Image Processing
Keywords
DocType
Volume
missing coefficient recovery,image coding,dct transformed images,cryptography,encryption schemes,cryptanalysis,linear programming,image reconstruction,discrete cosine transforms,optimization problem,visual quality,discrete cosine transform,visualization,optimization,encryption,linear program
Journal
abs/1209.1673
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
8
PageRank 
References 
Authors
0.49
7
4
Name
Order
Citations
PageRank
Shujun Li11131116.82
Andreas Karrenbauer213320.21
Dietmar Saupe3110485.80
C.-C. Jay Kuo47524697.44