Message embedding algorithm is the important factor for the performance of information hiding system 密信信號隱藏算法關(guān)系到信息隱藏系統(tǒng)許多重要設(shè)計(jì)目標(biāo)的實(shí)現(xiàn)。
( 3 ) presenting digital watermarking embedding algorithm based on quantization in low - frequency in dwt domain ( 3 )提出了基于量化音頻小波域低頻系數(shù)的水印嵌入算法。
According to zero - watermarking , a zero - embedding algorithm for multiple watermarks was proposed based on wavelet and chaos 摘要根據(jù)零水印概念,提出一種基于小波和混沌的多重水印零嵌入算法。
Experiments show that choosing frequency domain to embed watermarking can gain image fidelity better and have more robustness than watermarking embedded algorithm in space domain 實(shí)驗(yàn)證明選擇頻域嵌入水印可以獲得更好的圖像保真度并且比在空域中的水印嵌入算法更穩(wěn)健。
In this article , a algorithm ccn ( calculate crossing number ) is put forward to study the crossing number . it is a very important development in graph planarity issue after planarity - determinant algorithm and embedding algorithm 本文首次給出了較好的計(jì)算圖的交叉數(shù)算法ccn ( calculatecrossingnumber ) ,這是繼圖平面性判定算法,二連通圖的平面嵌入算法之后在圖的平面性問題上的一個(gè)最重要的進(jìn)展。
In order to improve the robustness of digital watermarking for copyright protection , a novel position and method complementary embedding algorithm is proposed , which is based on the analysis of the unbalanced characteristics for different image processing methods 摘要為提高用于版權(quán)保護(hù)的數(shù)字水印的魯棒性,基于圖像小波信號分析方法,分析了各種處理攻擊對圖像小波系數(shù)影響的不均衡特性,并根據(jù)該特性提出嵌入位置和嵌入方法互補(bǔ)的新穎水印算法。
To the common requirement of invisibility of the two , the paper presents a information hiding strategy which first uses cluster analysis methods ( this paper uses k - means algorithm ) to classify the image to get the nature of the image , and then uses one embedding algorithm , accounting the improvement on the conceal effect using image ' s character 接著對信息隱藏技術(shù)的兩個(gè)重要分支隱寫術(shù)與數(shù)字水印技術(shù),闡述其各自特點(diǎn)及異同點(diǎn),針對二者在不可見性上的共同要求,從利于圖像自身的特性增強(qiáng)掩密效果的思路出發(fā),提出先用聚類分析的方法(本文采用了k -均值算法)對圖像的像素點(diǎn)進(jìn)行分類以充分發(fā)掘圖像自然的內(nèi)在特性,再結(jié)合嵌入算法的信息隱藏策略。
When recovering watermark information , only part content of the database is needed . the experiments results show that the safety and robustness are improved . even if the attacker knows the embedded algorithm , only the shared watermark information can be got , and the original watermark can ’ t be recovered 本文提出了基于中國剩余定理的數(shù)據(jù)庫水印算法,實(shí)現(xiàn)了基于數(shù)據(jù)庫的部分內(nèi)容恢復(fù)水印信息,攻擊者即使知道水印嵌入算法,也只能提取出經(jīng)過分存后的水印信息,無法恢復(fù)出原始水印。
A new type of blind watermarking technology , which has the advantage of adopting watermarking embedding algorithm is introduced based on wavelet transform and cosine transform , so the original image isn ' t necessary when picking up watermarking and the transparency and robustness of digital watermarking system is well fulfilled , the attack in the forms of noise , median filtering and compress can be withstood , and high pass filtering and low pass filtering can also be endured 摘要詳細(xì)介紹了基于一種新型的基于小波變換和余弦變換的盲水印數(shù)字水印技術(shù),這種方法的一個(gè)顯著的優(yōu)點(diǎn)就是采用水印嵌入算法,提取水印的時(shí)候不需要原圖象,能夠很好的滿足了數(shù)字水印系統(tǒng)的透明性和魯棒性,能夠經(jīng)受住加入噪聲、中值濾波、壓縮等方式的攻擊,并且還能夠經(jīng)受住高通濾波和低通濾波。
In order to ensure the security and integrity of the authenticated user ' s fingerprint data transmitted via web and increasing the credibility of the automatic fingerprint identification system ( afis ) , an adaptive embedding algorithm is introduced that can hide the fingerprint minutiae data in a synthetic fingerprint image 摘要為了保證指紋信息在網(wǎng)絡(luò)上傳輸?shù)陌踩院屯暾裕谛〔ㄗ儞Q多尺度分解原理以及人眼對頻率、紋理和對比度的視覺特性,提出新的臨界可見誤差模型。