Lossless generalized-LSB data embedding

By Mehmet Utku Celik, Gaurav Sharma, A. Tekalp, Eli S. Saber. IEEE Transactions on Image Processing, 2005

1,284 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/84b7d0a808aa166209953707a02a2ea6d34bae78

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In Computer Vision and Pattern Recognition

Citations in the corpus

Current status and key issues in image steganography: A survey (2014, methodology): “Some of them include Adaptive LSB substitution based on brightness, edges and texture masking of the host image to estimate the number k of LSBs for data hiding [19], loss less generalized LSB data embedding [20], optimized LSB substitution using cat swarm strategy and genetic algorithm [21,22], dat”
Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, methodology): “The lossless compression based approach substitutes a part of the host with the compressed code of the substituted part and the watermark [1], [2], etc.”
Very Fast Watermarking by Reversible Contrast Mapping (2007, methodology): “The Celik’s scheme [2], which appears to provide the highest bit-rates among the compression-based methods, provides a bit-rate of 0.”
An Improved Reversible Data Hiding in Encrypted Images Using Side Match (2012, methodology): “[2] uses a lossless compression technique to create extra spaces for carry data bits.”
Reversibility improved data hiding in encrypted images (2014, methodology): “Until now, many RDH techniques have been proposed based on three fundamental strategies: lossless compression-appending scheme [1,2], difference expansion (DE) [3,4] and histogram shift (HS) [5].”
Reversible Data Hiding in Encrypted Image (2011, methodology): “Another kind of method makes use of redundancy in a cover by performing lossless compression to create a spare space for data embedding [3].”
DE-Based Reversible Data Hiding With Improved Overflow Location Map (2009, background): “’s prototype has influenced many other researches such as [7], where Celik et al.”
Efficient Reversible Data Hiding Based on Multiple Histograms Modification (2015, methodology): “In [13], Celik et al. proposed a generalized least signiﬁcant bit (LSB) compression method to improve the compression efﬁciency by using unaltered bit-planes as side information.”
Reversible data hiding: Advances in the past two decades (2016, neutral): “In [23], Celik et al.”
Reversible data embedding into images using wavelet techniques and sorting (2005, methodology): “In Section V, we present an improvement of his technique.”
Seeing is Not Believing: Camouflage Attacks on Image Scaling Algorithms (2019, background): “Information hiding is a significant topic in information security [2,9,15,18,19,21,27,30,31].”
Improved Embedding for Prediction-Based Reversible Watermarking (2011, background): “The best performances reported so far [1], [2] are below 1 bit per pixel (bpp).”
General Framework to Histogram-Shifting-Based Reversible Data Hiding (2013, methodology): “, the methods based on lossless compression [5]–[7],”
Expansion Embedding Techniques for Reversible Watermarking (2007, background): “The other category of approaches [4], [8], [9], [11], [15], sometimes referred to as type-II algorithms in the literature, involves methods to losslessly compress a set of selected features from an image and embed the payload in the space saved due to the compression.”
Multilevel reversible data hiding based on histogram modification of difference images (2008, methodology): “[16] proposed a lossless generalized-LSB data embedding scheme that is a generalization of the LSB-embedding method, called G-LSB.”
Lossless watermarking for image authentication: a new framework and an implementation (2006, background): “Note that none of the lossless authentication methods in the literature offer tamper localization capability, which is one of the major advantages of authentication watermarks over conventional digital signatures.”