A PVD-based data hiding method with histogram preserving using pixel pair matching

2014 ◽  
Vol 29 (3) ◽  
pp. 375-384 ◽  
Author(s):  
Jeanne Chen
Keyword(s):  
Data Hiding ◽  
Pixel Pair ◽  
Pair Matching ◽  
Histogram Preserving

Extended Adaptive Pixel Pair Matching for data hiding in medical images

2015 ◽  
Vol 29 (2) ◽  
pp. 877-883 ◽  
Author(s):  
S Arivazhagan ◽  
W. Sylvia Lilly Jebarani ◽  
S Keerthinathan
Keyword(s):  
Data Hiding ◽  
Medical Images ◽  
Pixel Pair ◽  
Pair Matching

Monocular Structure from Motion Based on Angular BA

2015 ◽  
Vol 742 ◽  
pp. 290-293
Author(s):  
Xiu Zhi Li ◽  
Ai Lin Yang ◽  
Huan Qiu ◽  
Song Min Jia
Keyword(s):  
Optical Flow ◽  
Structure From Motion ◽  
Structure Refinement ◽  
3D Structure ◽  
Flow Fields ◽  
Image Point ◽  
Pixel Pair ◽  
Pair Matching ◽  
Dense Correspondence

This paper presents a technique for monocular Structure from Motion (SFM) that reconstructs 3D world shape. The technique proposed uses optical flow for 2D pixel pair matching and Angular Bundle Ajustment (ABA) for 3D structure refinement. The proposed strategy has two main advantages. Firstly, optical flow fields provide sufficient dense correspondence of image point pairs and secondly, ABA outperforms classic BA variants, especially for the points relatively far from camera. The reconstruction results obtained in realistic scenario demonstrate the effectiveness and accuracy of the proposed algorithm.

An efficient authentication method for AMBTC compressed images using adaptive pixel pair matching

2017 ◽  
Vol 77 (4) ◽  
pp. 4677-4695 ◽  
Author(s):  
Wien Hong ◽  
Meijin Chen ◽  
Tung Shou Chen ◽  
Chien-Che Huang
Keyword(s):  
Compressed Images ◽  
Pixel Pair ◽  
Pair Matching

Efficient data hiding with histogram-preserving property

2010 ◽  
Vol 49 (2) ◽  
pp. 179-185 ◽  
Author(s):  
Xinpeng Zhang ◽  
Shuozhong Wang
Keyword(s):  
Data Hiding ◽  
Efficient Data ◽  
Histogram Preserving

scholarly journals A Formula Adaptive Pixel Pair Matching Steganography Algorithm

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Min Long ◽  
Fenfang Li
Keyword(s):  
Secret Message ◽  
Secret Data ◽  
Stego Image ◽  
Pixel Pair ◽  
Pair Matching ◽  
The Look ◽  
The Given ◽  
Notational System ◽  
Additional Space ◽  
Selection Of

Pixel pair matching (PPM) is widely used in digital image steganography. As an important derivation, adaptive pixel pair matching method (APPM) offers low distortion and allows embedded digits in any notational system. However, APPM needs additional space to store, calculate, and query neighborhood set, which needs extra cost. To solve these problems, a formula adaptive pixel pair matching (FAPPM) method is proposed in this paper. The basic idea of FAPPM is to use the formula to get the stego image pixel pair without searching the neighborhood set for the given image pixel pair. This will allow users to embed secret message directly without storing and searching the look-up table. Experimental results and analysis show that the proposed method could embed secret data directly without searching the neighborhood sets by using a formula and it still maintains flexibility in the selection of notional system, high image quality, and strong anti-steganalysis ability.

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