QIM data hiding for tamper detection and correction in digital images using wavelet transform

CCECE 2010 ◽  
2010 ◽  
Author(s):  
Amit Phadikar ◽  
Santi P. Maity ◽  
Mrinal Mandal
Keyword(s):  
Wavelet Transform ◽  
Data Hiding ◽  
Digital Images ◽  
Tamper Detection

Verifiable data hiding scheme with tamper detection

2019 ◽  
Vol 36 (2) ◽  
pp. 1311-1321
Author(s):  
Wen-Chung Kuo ◽  
Chun-Cheng Wang ◽  
Shao-Hung Kuo ◽  
Lih-Chyau Wuu
Keyword(s):  
Data Hiding ◽  
Tamper Detection

Non-Subsampled Contourlet Texture Retrieval Using Four Estimators

2012 ◽  
Vol 263-266 ◽  
pp. 167-170 ◽  
Author(s):  
Xin Wu Chen ◽  
Jing Ge ◽  
Jin Gen Liu
Keyword(s):  
Wavelet Transform ◽  
Standard Deviation ◽  
Digital Images ◽  
Contourlet Transform ◽  
Retrieval Algorithm ◽  
Retrieval Rate ◽  
Retrieval Systems ◽  
Texture Information ◽  
Shift Invariance ◽  
Texture Retrieval

Contourlet transform is superior to wavelet transform in representing texture information and sparser in describing geometric structures in digital images, but lack of robust character of shift invariance. Non-subsampled contourlet transform (NSCT) alleviates this shortcoming hence more suitable for texture and has been studied for image de-noising, enhancement, and retrieval situations. Focus on improving the retrieval rates of existing contourlet transforms retrieval systems, a new texture retrieval algorithm was proposed. In the algorithm, texture information was represented by four statistical estimators, namely, L2-energy, kurtosis, standard deviation and L1-energy of each sub-band coefficients in NSCT domain. Experimental results show that the new algorithm can make a higher retrieval rate than the combination of standard deviation and energy which is most commonly used today.

Reversible Data Hiding for DNA Sequences and Its Applications

2014 ◽  
Vol 6 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Qi Tang ◽  
Guoli Ma ◽  
Weiming Zhang ◽  
Nenghai Yu
Keyword(s):  
Data Hiding ◽  
Dna Sequences ◽  
Reversible Data Hiding ◽  
Tamper Detection ◽  
Dna Databases ◽  
Living Things ◽  
Embedding Rate

As the blueprint of vital activities of most living things on earth, DNA has important status and must be protected perfectly. And in current DNA databases, each sequence is stored with several notes that help to describe that sequence. However, these notes have no contribution to the protection of sequences. In this paper, the authors propose a reversible data hiding method for DNA sequences, which could be used either to embed sequence-related annotations, or to detect and restore tampers. When embedding sequence annotations, the methods works in low embedding rate mode. Only several bits of annotations are embedded. When used for tamper detection and tamper restoration, all possible embedding positions are utilized to assure the maximum restoration capacity.

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