Expert system for low frequency adaptive image watermarking: Using psychological experiments on human image perception

Moon, Ho Seok; You, Taewoo; Sohn, Myung Ho; Kim, Hye Soo; Jang, Dong Sik

doi:10.1016/j.eswa.2006.01.028

Cited by 29 publications

(13 citation statements)

References 15 publications

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“…Also, this method provides the robustness against typical watermark attack channels such as AWGN noise, JPEG compression, median, and Wiener filtering. Later, Moon et al [50] proposed an adaptive image watermarking system based on the statistical data from psychological experiments on human image perception. The main strength of this technique is that the fidelity of images was remarkably enhanced through controlling the watermark strength with the data associated with brightness and contrast as local image characteristics without sacrificing the robustness of images.…”

Section: Dwt-based Watermarkingmentioning

confidence: 99%

An Overview of Robust Digital Image Watermarking

Verma

Jha

2015

IETE Technical Review

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This paper presents a thorough literature review of robust digital image watermarking applied in diverse applications. Researchers have already done lots of noteworthy work in the field of digital image watermarking. Even though, it is interesting to point out that current methods designed for image integrity may not be perfect. Therefore, the main aim of this paper is to offer a comprehensive reference source to the researchers involved in the design of robust digital image watermarking schemes, regardless of particular application areas. In this article, classification of various watermarking schemes with their properties and applications in the different domain is studied. The general structure of watermarking system, different quantitative matrices, and various categories of attacks are also discussed in this survey. The comparative and quantitative analysis of various watermarking schemes in the different domain will help the researchers in a quick review of existing algorithms.

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Section: Dwt-based Watermarkingmentioning

confidence: 99%

An Overview of Robust Digital Image Watermarking

Verma

Jha

2015

IETE Technical Review

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“…The watermarking application is considered one of the criteria for watermarking classification. Figure 3 shows the subcategories based on watermarking applications [16][17][18]. Image watermarking techniques proposed so far can be divided into two main groups: those which embed the watermark directly in Fig.…”

Section: Watermarkingmentioning

confidence: 99%

A New Watermarking System Based on Discrete Cosine Transform (DCT) in Color Biometric Images

et al. 2011

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This paper recommend a biometric color images hiding approach An Watermarking System based on Discrete Cosine Transform (DCT), which is used to protect the security and integrity of transmitted biometric color images. Watermarking is a very important hiding information (audio, video, color image, gray image) technique. It is commonly used on digital objects together with the developing technology in the last few years. One of the common methods used for hiding information on image files is DCT method which used in the frequency domain. In this study, DCT methods in order to embed watermark data into face images, without corrupting their features.

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“…The image resolution applying DWT is divided into 4 submatrices called approximations a, horizontal h, vertical v, and diagonal d, see Figure 1. Each submatrix is a copy of the original image but in different frequency level which provides a certain amount of energy (Moon ,2007;Walker, 2003). In this image subdivision the steganographic algorithm is applied only in the submatrix h and the other ones are discarded.…”

Section: Proposed Methodsmentioning

confidence: 99%