ĐỀ XUẤT GIẢI PHÁP THUỶ VÂN RỖNG BỀN VỮNG TRÊN MIỀN TẦN SỐ DWT-DCT KẾT HỢP KỸ THUẬT TỰ ĐỘNG PHỤC HỒI ẢNH SỬ DỤNG THUẬT TOÁN KHỚP ĐIỂM ĐẶC TRƯNG BỀN VỮNG

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Tác giả: Thái Hưng Phạm, Minh Thanh Tạ

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Journal of Science and Technique: Section on Information and Communication Technology, 2024

Mô tả vật lý: tr.114

Bộ sưu tập: Metadata

ID: 462520

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Để bảo vệ bản quyền sản phẩm số, nhiều kỹ thuật thuỷ vân đã được đề xuất sử dụng đặc trưng miền tần số hoặc miền tần số kết hợp. Một kỹ thuật khác, được gọi là thuỷ vân rỗng (zero-watermarking), không sửa đổi hình ảnh gốc để nhúng thuỷ vân nhưng tạo ra thuỷ vân từ các đặc trưng bền vững của ảnh. Thuỷ vân rỗng là một kỹ thuật hữu ích để giải quyết vấn đề bảo vệ bản quyền ảnh số với tính chất bền vững mà không làm ảnh hưởng đến chất lượng hình ảnh. Trong bài báo này, chúng tôi đề xuất một thuật toán thuỷ vân rỗng mới dựatrên miền biến đổi sóng con rời rạc (DWT) và miền biến đổi cosine rời rạc (DCT) với các điểm đặc trưng quan trọng phù hợp để cải thiện độ bền vững của kỹ thuật. Trong phương pháp đề xuất của chúng tôi, ảnh gốc trước tiên được tách thành ba thành phần (Y, Cr, Cb), sau đó thành phần Y của nó được thực hiện biến đổi DWT, sau đó LL3 của nó được biến đổi DCT. Để tạo ra phần master share (MS) của ảnh gốc, ảnh DCT sẽ được nhị phân hóa. Sau khi thực hiện chuyển đổi Arnold trên ảnh thuỷ vân, phần chia sẻ owner share (OS) được tạo ra bằng cách thực hiện phép toán XOR trên ảnh thuỷ vân bị xáo trộn với MS. Độ bền vững của thuật toán đề xuất của chúng tôi đã được phân tích và kết quả cho thấy thuật toán được đề xuất là mạnh mẽ trước các tấn công phổ biến như thêm nhiễu, lọc hình ảnh, nén JPEG, các cuộc tấn công hình học như xoay, tăng giảm tỷ lệ hình ảnh, dịch chuyển ảnh, v.v.In order to protect the copyright of the digital contents, the robust watermarking techniques are employed based on frequency domains or combined frequency domains. Another techniques, called zero-watermarking which does not modify the original image to embed the watermark but create a watermark from its robust features, is a useful technique for resolving the tension between robustness and invisibility. In this paper, we propose a new zero-watermarking algorithm based on discrete wavelet transform and discrete cosine transform domain with significant feature points matching for improving the robustness. In our proposed method, the original image is firstly separated into three components (Y, Cr, Cb), then its Y-component is performed with discrete wavelet transform, afterwards its LL3 is transformed with discrete cosine transform. To generate the master share of the original image, the DCT-based image is binarized. After performing the Arnold transformation on the watermark, the owner share is generated by taking the XOR operation on the scrambled watermark and master share. The robustness of the our proposed algorithm for imaging processes is analyzed, and the results show that the proposed algorithm is robust to common signal processing such as noise, filtering, JPEG compression, geometric attacks such as rotation, scaling, translation and so on.

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