本文關(guān)鍵詞： 離散小波變換 離散余弦變換 自適應(yīng) 透明性 魯棒性　出處：《江西理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：信息時(shí)代的到來,計(jì)算機(jī)網(wǎng)絡(luò)技術(shù)、多媒體信息技術(shù)以及相關(guān)學(xué)科的快速發(fā)展,使得數(shù)字產(chǎn)品被廣泛應(yīng)用開來,數(shù)字化信息在現(xiàn)代生活中變得愈加普遍。數(shù)字多媒體作品便于存儲(chǔ)、復(fù)制及傳播,藉此誘發(fā)的違法拷貝和版權(quán)盜用等信息安全問題愈漸增加,帶來嚴(yán)峻的社會(huì)問題。因此,保障信息傳輸速度的同時(shí),仍須保證個(gè)人信息、商業(yè)機(jī)密、知識(shí)產(chǎn)權(quán)等不被竊取。在版權(quán)保護(hù)領(lǐng)域中,數(shù)字水印占據(jù)著重要地位,通過把含有水印信息的標(biāo)記隱藏到多媒體數(shù)字作品中,用以保護(hù)作品安全。但數(shù)字水印中魯棒性和透明性兩者彼此制約,在透明性得到保障的情形下,盡可能地提升其魯棒性尤為關(guān)鍵。本文為了解決傳統(tǒng)數(shù)字圖像水印中版權(quán)保護(hù)的不足,提高數(shù)字作品的安全性,通過改進(jìn)算法以均衡數(shù)字水印的透明性與魯棒性,加強(qiáng)數(shù)字水印對(duì)各種攻擊的抵御性能。本文的主要內(nèi)容和創(chuàng)新點(diǎn)如下:⑴系統(tǒng)地論述了數(shù)字水印的發(fā)展背景和研究現(xiàn)狀,分析了相關(guān)基礎(chǔ)知識(shí),研究了圖像水印算法的相關(guān)設(shè)計(jì)手段,為本文的算法設(shè)計(jì)提供了充足的理論鋪墊。⑵為了提升水印魯棒性,均衡透明性與魯棒性彼此之間矛盾,提出一種融合SVD和HVS優(yōu)良特征的小波域數(shù)字圖像水印算法。該算法首先對(duì)載體圖像進(jìn)行兩級(jí)DWT,提取所得第二級(jí)低頻子帶并作剪裁處理;然后對(duì)每個(gè)子塊進(jìn)行SVD,并根據(jù)HVS對(duì)平均亮度的敏感性,結(jié)合修正的余弦相似性度量方法計(jì)算出水印的最佳嵌入位置;最后采取量化的形式把Arnold擾亂加密處理后的水印嵌入到選定奇異值中,其強(qiáng)度依照載體圖像子塊的奇異值自適應(yīng)地調(diào)節(jié)。實(shí)驗(yàn)結(jié)果表明,該水印不僅具備良好透明性,對(duì)噪聲、濾波、剪切以及JPEG壓縮等水印攻擊也都能夠呈現(xiàn)出優(yōu)異的魯棒性。⑶針對(duì)水印透明性與魯棒性彼此制約問題,提出一種融合DCT變換和LDPC碼的數(shù)字圖像水印算法。該算法首先對(duì)二值水印圖像進(jìn)行Arnold擾亂加密,之后再采取LDPC碼對(duì)加密水印進(jìn)行糾錯(cuò)編碼;然后對(duì)載體圖像按88?尺寸作剪裁處理,并分別對(duì)所得各個(gè)子塊進(jìn)行DCT變換;最后通過動(dòng)態(tài)修改選定區(qū)域坐標(biāo)處中頻系數(shù)的大小關(guān)系來完成水印嵌入。實(shí)驗(yàn)結(jié)果表明,水印具備良好的安全性和透明性,能夠有效地抵御濾波、JPEG壓縮、噪聲、旋轉(zhuǎn)、剪切、平移、Gamma校正、直方圖均衡化以及縮放等水印攻擊,實(shí)現(xiàn)了水印的自適應(yīng)嵌入和盲提取。
[Abstract]:With the advent of the information age, the rapid development of computer network technology, multimedia information technology and related disciplines, digital products have been widely used. Digital information is becoming more and more common in modern life. Digital multimedia works are easy to store, copy and disseminate, thus causing more and more information security problems, such as illegal copy and copyright embezzlement, which bring severe social problems. While guaranteeing the speed of information transmission, we must also ensure that personal information, trade secrets and intellectual property rights are not stolen. In the field of copyright protection, digital watermarking plays an important role. In order to protect the security of digital works, the watermark information is hidden in the multimedia digital works. However, the robustness and transparency of digital watermarking are restricted to each other, and the transparency is guaranteed. In order to solve the shortcomings of copyright protection in traditional digital image watermarking and improve the security of digital works, the algorithm is improved to balance the transparency and robustness of digital watermarking. The main contents and innovations of this paper are as follows: 1: 1 systematically discusses the development background and research status of digital watermarking, and analyzes the relevant basic knowledge. This paper studies the relevant design methods of image watermarking algorithm, and provides sufficient theoretical basis for the algorithm design in this paper. 2. In order to improve the robustness of watermark, the contradiction between transparency and robustness is proposed. A digital image watermarking algorithm in wavelet domain is proposed, which combines the excellent features of SVD and HVS. Then the best embedding position of the watermark is calculated according to the sensitivity of HVS to average brightness and the modified cosine similarity measurement method. Finally, the Arnold scrambled watermark is embedded into the selected singular value in the form of quantization. The intensity of the watermark is adjusted adaptively according to the singular value of the sub-block of the carrier image. The experimental results show that the watermark not only has good transparency, but also has good noise. Watermarking attacks such as filtering, clipping and JPEG compression can also show excellent robustness. 3. 3 constraints on the transparency and robustness of the watermark. A digital image watermarking algorithm combining DCT transform and LDPC code is proposed. Firstly, the binary watermark image is scrambled by Arnold, then the encrypted watermark is coded by LDPC code, and then the carrier image is coded by 88? The dimension is clipped, and each sub-block is transformed by DCT transform. Finally, the watermark is embedded by dynamically modifying the relationship of the intermediate frequency coefficient at the selected region coordinates. The experimental results show that, The watermark has good security and transparency, and it can effectively resist the filtering attacks such as JPEG compression, noise, rotation, cutting, translation Gamma correction, histogram equalization and scaling, which realizes the adaptive embedding and blind extraction of the watermark.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP309.7

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