BINARY IMAGE WATERMARKING THROUGH BLURRING AND BIASED BINARIZATION

2005 ◽  
Vol 05 (01) ◽  
pp. 67-87 ◽  
Author(s):  
HAIPING LU ◽  
YUN Q. SHI ◽  
ALEX C. KOT ◽  
LIHUI CHEN
Keyword(s):  
Discrete Cosine Transform ◽  
Digital Watermarking ◽  
Image Watermarking ◽  
Binary Image ◽  
Experimental Results ◽  
Cosine Transform ◽  
Binary Images ◽  
Blurred Image ◽  
Binarization Threshold

Digital watermarking has been proposed for the protection of digital medias. This paper presents two watermarking algorithms for binary images. Both algorithms involve a blurring preprocessing and a biased binarization. After the blurring, the first algorithm embeds a watermark by modifying the DC components of the Discrete Cosine Transform (DCT), followed by a biased binarization, and the second one embeds a watermark by directly biasing the binarization threshold of the blurred image, controlled by a loop. Experimental results show the imperceptibility and robustness aspects of both algorithms.

A Novel Hybrid Discrete Cosine Transform Speeded Up Robust Feature-Based Secure Medical Image Watermarking Algorithm

2020 ◽  
Vol 10 (11) ◽  
pp. 2588-2599
Author(s):  
Saqib Ali Nawaz ◽  
Jingbing Li ◽  
Uzair Aslam Bhatti ◽  
Anum Mehmood ◽  
Raza Ahmed ◽  
...  
Keyword(s):  
Discrete Cosine Transform ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Image Feature ◽  
Feature Descriptor ◽  
Cosine Transform ◽  
Speeded Up Robust Features ◽  
Feature Based ◽  
Dct Coefficients

With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method of copyright protection. Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention. This paper proposes a novel robust watermarking algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform), namely blind watermarking. We design and implement a meaningful binary watermark embedding and extraction algorithm based on the SURF feature descriptor and discrete-cosine transform domain digital image watermarking algorithm. The algorithm firstly uses the affine transformation with a feature matrix and chaotic encryption technology to preprocess the watermark image, enhance the confidentiality of the watermark, and perform block and DCT coefficients extraction on the carrier image, and then uses the positive and negative quantization rules to modify the DCT coefficients. The embedding of the watermark is completed, and the blind extraction of the watermark realized. Correlation values are more than 90% in most of the attacks. It provides better results against different noise attacks and also better performance against rotation. Transparency and high computational efficiency, coupled with dual functions of copyright protection and content authentication, is the advantage of the proposed algorithm.

Data Hiding in Document Images

2008 ◽  
pp. 291-304
Author(s):  
M. Chen ◽  
Nasir Memon ◽  
Edward K. Wong
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Data Hiding ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Binary Image ◽  
Document Images ◽  
Hiding Capacity ◽  
Binary Images ◽  
Recent Developments

With the proliferation of digital media such as images, audio, and video, robust digital watermarking and data hiding techniques are needed for copyright protection, copy control, annotation, and authentication of document images. While many techniques have been proposed for digital color and grayscale images, not all of them can be directly applied to binary images in general and document images in particular. The difficulty lies in the fact that changing pixel values in a binary image could introduce irregularities that are very visually noticeable. Over the last few years, we have seen a growing but limited number of papers proposing new techniques and ideas for binary image watermarking and data hiding. In this chapter we present an overview and summary of recent developments on this important topic, and discuss important issues such as robustness and data hiding capacity of the different techniques.

scholarly journals An Improvement Technique Based on Structural Similarity Thresholding for Digital Watermarking

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Amin Banitalebi-Dehkordi ◽  
Mehdi Banitalebi-Dehkordi ◽  
Jamshid Abouei ◽  
Said Nader-Esfahani
Keyword(s):  
Discrete Cosine Transform ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Structural Similarity ◽  
Spatial Domain ◽  
Cosine Transform ◽  
Similarity Threshold ◽  
Watermark Embedding

Digital watermarking is extensively used in ownership authentication and copyright protection. In this paper, we propose an efficient thresholding scheme to improve the watermark embedding procedure in an image. For the proposed algorithm, watermark casting is performed separately in each block of an image, and embedding in each block continues until a certain structural similarity threshold is reached. Numerical evaluations demonstrate that our scheme improves the imperceptibility of the watermark when the capacity remains fixed, and at the same time, robustness against attacks is assured. The proposed method is applicable to most image watermarking algorithms. We verify this issue on watermarking schemes in discrete cosine transform (DCT), wavelet, and spatial domain.

Data Hiding in Document Images

2008 ◽  
pp. 438-450 ◽  
Author(s):  
Minya Chen ◽  
Nasir Memon ◽  
Edward K. Wong
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Data Hiding ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Binary Image ◽  
Document Images ◽  
Hiding Capacity ◽  
Binary Images ◽  
Recent Developments

With the proliferation of digital media such as images, audio, and video, robust digital watermarking and data hiding techniques are needed for copyright protection, copy control, annotation, and authentication of document images. While many techniques have been proposed for digital color and grayscale images, not all of them can be directly applied to binary images in general and document images in particular. The difficulty lies in the fact that changing pixel values in a binary image could introduce irregularities that are very visually noticeable. Over the last few years, we have seen a growing but limited number of papers proposing new techniques and ideas for binary image watermarking and data hiding. In this chapter we present an overview and summary of recent developments on this important topic, and discuss important issues such as robustness and data hiding capacity of the different techniques.

Data Hiding in Document Images

2005 ◽  
pp. 231-247
Author(s):  
Minya Chen ◽  
Nasir Memon ◽  
Edward K. Wong
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Data Hiding ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Binary Image ◽  
Document Images ◽  
Hiding Capacity ◽  
Binary Images ◽  
Recent Developments

With the proliferation of digital media such as images, audio, and video, robust digital watermarking and data hiding techniques are needed for copyright protection, copy control, annotation, and authentication of document images. While many techniques have been proposed for digital color and grayscale images, not all of them can be directly applied to binary images in general and document images in particular. The difficulty lies in the fact that changing pixel values in a binary image could introduce irregularities that are very visually noticeable. Over the last few years, we have seen a growing but limited number of papers proposing new techniques and ideas for binary image watermarking and data hiding. In this chapter we present an overview and summary of recent developments on this important topic, and discuss important issues such as robustness and data hiding capacity of the different techniques.

LWT-DCT based Image Watermarking Scheme using Normalized SVD

2020 ◽  
Vol 13 ◽  
Author(s):  
Rahul Dixit ◽  
Amita Nandal ◽  
Arvind Dhaka ◽  
Vardan Agarwal ◽  
Yohan Varghese
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Cosine Transform ◽  
Image Watermarking ◽  
Singular Value ◽  
Cover Image ◽  
Lifting Wavelet Transform ◽  
Cosine Transform ◽  
Lifting Wavelet ◽  
Value Decomposition

Background: Nowadays information security is one of the biggest issues of social networks. The multimedia data can be tampered with, and the attackers can then claim its ownership. Image watermarking is a technique that is used for copyright protection and authentication of multimedia. Objective: We aim to create a new and more robust image watermarking technique to prevent illegal copying, editing and distribution of media. Method : The watermarking technique proposed in this paper is non-blind and employs Lifting Wavelet Transform on the cover image to decompose the image into four coefficient matrices. Then Discrete Cosine Transform is applied which separates a selected coefficient matrix into different frequencies and later Singular Value Decomposition is applied. Singular Value Decomposition is also applied to the watermarking image and it is added to the singular matrix of the cover image which is then normalized followed by the inverse Singular Value Decomposition, inverse Discrete Cosine Transform and inverse Lifting Wavelet Transform respectively to obtain an embedded image. Normalization is proposed as an alternative to the traditional scaling factor. Results: Our technique is tested against attacks like rotation, resizing, cropping, noise addition and filtering. The performance comparison is evaluated based on Peak Signal to Noise Ratio, Structural Similarity Index Measure, and Normalized Cross-Correlation. Conclusion: The experimental results prove that the proposed method performs better than other state-of-the-art techniques and can be used to protect multimedia ownership.

Blind Digital Image Watermarking Algorithm Based on the Chain Code

2012 ◽  
Vol 546-547 ◽  
pp. 410-415
Author(s):  
Chun Ge Tang ◽  
Tie Sheng Fan ◽  
Lei Liu ◽  
Zhi Hui Li
Keyword(s):  
Image Quality ◽  
Digital Watermarking ◽  
Digital Image ◽  
Image Watermarking ◽  
Boundary Representation ◽  
Experimental Results ◽  
Digital Image Watermarking ◽  
Original Image ◽  
Chain Code ◽  
Decision Method

A new blind digital watermarking algorithm based on the chain code is proposed. The chain code is obtained by the characteristics of the original image -the edge contour. The feather can reflect the overall correlation of the vector image, and chain code expression can significantly reduce the boundary representation of the amount of data required. For the watermarking embedding, the original vector image is divided into sub-block images, and two bits of the watermarking information are embedded into sub-block images repeatedly by quantization. For watermarking extracting, the majority decision method is employed to determine the size of the extracted watermark. Experimental results show that the image quality is not significantly lowered after watermarking. The algorithm can resist the basic conventional attacks and has good robustness on the shear attacks.

Velocity Estimation From a Single Linear Motion Blurred Image Using Discrete Cosine Transform

2019 ◽  
Vol 68 (10) ◽  
pp. 4038-4050 ◽  
Author(s):  
Jimy Alexander Cortes-Osorio ◽  
Juan Bernardo Gomez-Mendoza ◽  
Juan Carlos Riano-Rojas
Keyword(s):  
Discrete Cosine Transform ◽  
Velocity Estimation ◽  
Linear Motion ◽  
Cosine Transform ◽  
Blurred Image
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