A steganographic method for images by pixel-value differencing

By Da-Chun Wu, Wen-Hsiang Tsai. Pattern Recognition Letters, 2003

1,320 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/88022ffe50008523177660928a1d168fd382cf96

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

Citations in the corpus

A high quality steganographic method with pixel-value differencing and modulus function (2008, methodology): “Let us begin with the background on which the embedding algorithm of method (Wu and Tsai, 2003) is build up.”
Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems (2008, methodology): “Similar to Wu and Tsai's scheme [17], pixel-value differencing is used to distinguish between edge areas and smooth areas.”
Edge Adaptive Image Steganography Based on LSB Matching Revisited (2010, methodology): “LSB-based approaches including LSB replacement, LSBM, and LSBMR, and some adaptive schemes including the original PVD scheme [ 17 ], the improved version of PVD (IPVD) [18], adaptive edges with LSB (AE-LSB) [19], and hiding behind corners (HBC) [14], and then show some image examples to expose the l”
A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing (2013, methodology): “Stenographic techniques [46]-[47] are exploited for disguising actual image from grid powered servers.”
A Survey on Image Steganography and Steganalysis (2011, methodology): “In the pixel value diﬀerencing (PVD) steganography[23], an image is partitioned into non-overlapping and consecutive groups of two neighboring pixels.”
Current status and key issues in image steganography: A survey (2014, background): “Wu and Tsai demonstrated a novel embedding concept based on difference between pixel values [29].”
Image steganographic scheme based on pixel-value differencing and LSB replacement methods (2005, methodology): “Wu and Tsai [14] utilized the difference between the two consecutive pixels in the cover image to determine what size the secret message is to be hidden.”
Digital image steganography: Survey and analysis of current methods (2010, background): “, cloudless blue sky over a blanket of snow; however chaotic areas with naturally redundant noisy backgrounds and salient rigid edges should be targeted [23,98].”