Enhancement of Data Embedding Technique Using Adaptive Pixel Pair Matching for Security

2013 ◽  
Author(s):  
C.A. Nafsiya ◽  
Vidya Hari ◽  
A. Neela Madheswari
Keyword(s):  
Data Embedding ◽  
Embedding Technique ◽  
Pixel Pair ◽  
Pair Matching

scholarly journals A High Fidelity Authentication Scheme for AMBTC Compressed Image Using Reference Table Encoding

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2610
Author(s):  
Tung-Shou Chen ◽  
Xiaoyu Zhou ◽  
Rong-Chang Chen ◽  
Wien Hong ◽  
Kia-Sheng Chen
Keyword(s):  
Image Quality ◽  
Image Authentication ◽  
Authentication Codes ◽  
Absolute Moment ◽  
Compressed Images ◽  
Embedding Technique ◽  
High Quality Image ◽  
Pixel Pair ◽  
Pair Matching ◽  
The One

In this paper, we propose a high-quality image authentication method based on absolute moment block truncation coding (AMBTC) compressed images. The existing AMBTC authentication methods may not be able to detect certain malicious tampering due to the way that the authentication codes are generated. In addition, these methods also suffer from their embedding technique, which limits the improvement of marked image quality. In our method, each block is classified as either a smooth block or a complex one based on its smoothness. To enhance the image quality, we toggle bits in bitmap of smooth block to generate a set of authentication codes. The pixel pair matching (PPM) technique is used to embed the code that causes the least error into the quantization values. To reduce the computation cost, we only use the original and flipped bitmaps to generate authentication codes for complex blocks, and select the one that causes the least error for embedment. The experimental results show that the proposed method not only obtains higher marked image quality but also achieves better detection performance compared with prior works.

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

A lossless data embedding technique by joint neighboring coding

2009 ◽  
Vol 42 (7) ◽  
pp. 1597-1603 ◽  
Author(s):  
Chin-Chen Chang ◽  
The Duc Kieu ◽  
Wen-Chuan Wu
Keyword(s):  
Data Embedding ◽  
Embedding Technique ◽  
Lossless Data Embedding
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