Digital Image Watermarking Algorithms Based on Dual Transform Domain and Self-Recovery

Abstract

Abstract-In view of dual watermarking algorithm for dual two value image watermarking, the watermark information there is a gray image watermarking in the expression is obviously insufficient. The proposed embedded in the carrier image on the dual watermark includes a two watermark image and a gray image watermarking algorithm, the persuasive power while maintaining the original two values of the watermark robustness at the same time, improve the watermark information. In order to balance the robustness and invisibility of watermarking algorithm, this paper analyzes the embedding position and strategy of transform domain algorithms, the DC coefficient in the carrier image is divided into blocks of DCT spectrum and spectrum on the combination of DWT coefficient method and the advantage of embedded dual watermarking, and use the NEC characteristic of the algorithm is improved adaptive based on the embedded mode. The gray image watermark bit plane decomposition compression high four bit plane information as watermarking, in reducing the original watermark loading and enhance the overall strength of self recovery system. This paper from the working principle, classification of digital watermarking, attack types, performance index, evaluation method and uses six aspects were introduced to the digital watermarking technology. Simulation study of a digital image watermarking algorithm based on DCT transform and Arnold transform, the algorithm's imperceptibility, robustness and security are analyzed, the algorithm for embedding process.

A Hybrid Digital Watermarking Approach Using Wavelets and LSB

“…To evaluate the efficiency, the proposed method is compared with the existing watermarking approaches [46,47,48]. The method proposed by Zhu Yuefenget.al [46] inserts and extracts the water mark image using dual transformation and self-recovery approach.…”

“…The DCT computation is performed on the entire image in Global DCT [41], whereas the DCT computation is performed separately on each non-overlapping blocks [44,45] to get low-frequency, mid-frequency and high-frequency subbands [43]. Generally, the watermark is inserted into a mid-frequency sub-band, which provides protection from watermarking attacks and it is well-matched with HVS model [46,47]. Given an image f of size M x N, the forward and inverse DCTs are shown in equations (2) and (3) [48].…”

“…HH sub-band is not suitable because of less hearty against image processing operations such as lossy compression [45]. Thus, the suitable subbands for watermark embedding are the mid-frequency sub-bands LH and HL [46,48]. Figure.6 illustrates decomposition of an image using 2D wavelet transform after 3 levels of decomposition.…”

A Proposed Framework for Photos Copyright Protection in Facebook

“…If the digital image watermark was robust, it will have a great practical value in the copyright protection of digital image. For that reason, digital watermarks can be useful in protecting the copyright of digital products, and that will have a very broad commercial value [3].…”

An Enhanced Digital Image Watermarking Scheme for Medical Images using Neural Network, DWT and RSA

“…Each technique has its own advantages as well as disadvantages. But the main advantage of transform domain method is that it is more robust, so in proposed work transform domain based method will be applied [7]. Fig.…”