تشخیص و بازیابی تصاویر تحت حملات با نرخ دستکاری بالا
محورهای موضوعی : مهندسی برق و کامپیوتر
فرانک توحیدی
1
(دانشگاه یزد)
محمدرضا هوشمنداصل
2
(دانشگاه محقق اردبیلی)
کلید واژه: نهان‌نگاری, تشخیص دستکاری, بازیابی داده, بازیابی تصویر,
چکیده مقاله :
در سال‌های اخیر با رشد روزافزون فناوری‌های دیجیتال، نسخه‌برداری عکس‌های دیجیتال و حتی تغییر آنها بدون افت کیفیت و با هزینه اندک امکانپذیر شده است. نهان‌نگاری، یکی از روش‌های موفق تشخیص دستکاری و حتی بازیابی داده‌های اصلی می‌باشد؛ ولی هنوز مشکلات زیادی برای ارائه یک نهان‌نگار مناسب که قادر به تشخیص و بازیابی هر نوع دستکاری باشد، وجود دارد. این مشکلات خصوصاً در مواردی که حملات خاص دستکاری با نرخ بالا صورت می‌گیرد حادتر خواهد بود. در این مقاله یک روش نهان‌نگار معرفی شده که نه‌تنها قادر به تشخیص هر گونه دستکاری است، بلکه در نرخ‌های بالای دستکاری نیز می‌تواند داده‌های اصلی را با کیفیت بالا بازیابی کند. در این مقاله برای تشخیص دستکاری از تجزیه به مؤلفه‌های تکین (SVD) استفاده می‌شود. همچنین نهان‌نگار برای بازیابی داده‌های از دست رفته از روش مبتنی بر OIBTC استفاده می‌کند. این مقاله روشی کارا برای افزایش حساسیت تشخیص و در عین حال افزایش مقاومت نهان‌نگار برای بازیابی ارائه می‌دهد. نتایج به‌دست‌آمده برتری روش پیشنهادشده را نسبت به روش‌های اخیر ثابت می‌کنند.
In recent years, illegally copying digital images and even manipulating them, without great loss of quality and at a low cost has been made possible. Watermarking has recently been developed as one of the methods to detect that tampering has occurred and even enable some recovery of the original images. However, there are still many issues to resolve in providing an effective watermark that can detect and recover a wide range of manipulations. Furthermore, the accuracy of detecting and the capability of the recovery of the original images by existing methods are still not at an acceptable level. These problems are more critical when certain high-rate manipulation attacks occur. In this paper, a watermarking method will be introduced that not only is able to detect any tampering, but also can successfully recover the original images in high quality, even at high tampering rates. In this method, Singular Value Decomposition (SVD) is used to detect tampering and Optimal Iterative Block Truncation Coding (OIBTC) has also been applied to recover lost data. This paper proposes a powerful way to increase detection sensitivity while increasing watermark resistance for the effective recovery of corrupted images. The results prove the superiority of the proposed method over current methods.92% of tasks are executed successfully in the edge environment.
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