IMPLEMENTATION & TESTING OF WATERMARKING TECHNIQUE FOR OWNERSHIP LABELLING ON DIGITAL IMAGES

Nowadays, digital images could be easily distributed through internet networks. Nevertheless, this capability could trigger a few issues such as: ownership issue, copy <br /> <br /> <br /> right infringement, and originality issue. With the increase number of digital images publi...

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Bibliographic Details
Main Author: SEPTI FERDINAND (NIM : 13206118); Dosen Pembimbing, : Dr.Ir. Hendrawan, HEFRIZAL
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/15881
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Nowadays, digital images could be easily distributed through internet networks. Nevertheless, this capability could trigger a few issues such as: ownership issue, copy <br /> <br /> <br /> right infringement, and originality issue. With the increase number of digital images published and the existence of group of people who manipulate, download, and <br /> <br /> <br /> reproduce the respective image easily, these will eventually cause many disadvantages to the image owner itself. In order to overcome these issues, a digital watermarking technique is specially designed to provide ownership labels to the digital images. The design of digital watermarking is accomplished by the use of DCT transformation in frequency/transform domain. The scheme of the design consists of watermark insertion and detection/ extraction scheme. The watermark insertion technique is performed by performing a modification on DCT coefficient followed by the insertion of watermark to each high-frequency components of DCT 8x8 from the respective <br /> <br /> <br /> image inputs. For simulations in range 0.01&#8804;&#945;&#8804;0.1, PSNR of watermarking images give a good point that is about more than 40 dB. The correlation value between original watermark and extracted watermark that is achieved from non attack/modification simulation equals one. To know the robustness level of watermark, some attack/modification performed such as noise addition (salt&pepper and Gaussian), median filtering, motion blurring, histogram equalization, and image rotating.