EVALUASI SKEMA WATERMARKING CITRA BERBASIS SINGULAR VALUE DECOMPOSITION, KUANTISASI DITHER, DAN DETEKSI SISI
Rahmatri Mardiko, Tjan Basaruddin · MAKARA of Science Series · 2011
Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Evaluation of S ingular Value Decomposition based Digital Image Watermarking with Dither Quantization and Edge Detection . The use of singular value decomposition ( SVD) in watermarking area has been developed by many researchers. In this paper, we describe our evaluation result against an SVD based watermarking scheme with Dither quantization and edge detection proposed by Mohan et al. As an evaluation benchmark, we use StirMark to produce modified images by various image attacks. The extracted watermarks from these images were compared with the original watermark by calculating its bit correlation ratio ( B C R). The result shows that the scheme is robust against JPEG compression, rotation, scaling, and PSNR attack. The scheme is also quite robust to some extents against remove - line attack and cropping.