image masking 中文意思是什麼
image masking
解釋
影象掩蔽-
The main works are as follows : firstly, we compare image enhancement in wavelet domain with that based on unsharp masking and indicate that there is intrinsic relation between them, namely they both enhance images by enhancing the high frequency coefficients. because after an image is decomposed in wavelet domain, every high frequency can be enhanced. however, if unshrap masking is used, only one high frequency channel is enhanced
本文主要研究了基於小波多分辨分析的圖像去噪和增強，主要工作如下： 1將反銳化掩模與基於小波多分辨分析的圖像增強進行了對比分析，指出它們之間存在著內在的聯系，即兩者都是對與圖像邊緣細節對應的高頻實行增強，而且指出前者只不過是後者的一個特例，因為小波分解后，多級尺度多個高頻通道可得到增，而反銳化掩模僅增強了一個高頻通道。 -
But, though considerable process has been made in the last ten years, digital watermarking is still in its infancy, and much interesting work remains to be done this thesis addresses some problems in the gray - scale image digital watermarking that are summarized below : 1 ) whereas the basic theory of digital watermarking is still very poor, a digital watermarking mathematic model based on imperceptibility and robustness is presented by analysising the characteristic of digital watermarking ; 2 ) based on the model constructed above, by defining the measures of capacity and robustness of digital watermarking, an objective method for evaluating the digital watermarking is introduced and used to analysis some algorithms ; 3 ) whereas geometric distortion always influences the restoration of watermark, we advocate to enhance the robustness against geometric distortion by restoring the image which has been distorted by geometric transformation, and a method is designed for estimating the parameters of geometric transformation ; 4 ) based on the conclusion discussed above, and combined with the masking effects of hvs, a novel public meaningful gray - scale image digital watermarking is designed by analysising the characteristics of image gray - scale interpolation and haar wavelet transformation. the experimental results show that the method is indeed powerful ; 5 ) whereas many image digital watermarking schemes, which embed watermark by modifying the values of pixels in spatial domain and transformed domain, are confronted with the conflict between the imperceptibility and robustness, we advocated to use some stable digital characteristics of host image as watermark and a algorithm based on hermite matrix is designed
本文重點對灰度圖象數字水印技術進行研究，主要工作如下： 1 ）鑒于目前數字水印的理論研究比較薄弱的現狀，本文通過分析數字水印的特點，建立了一個數字水印的數學模型，為進一步研究數字水印打下了基礎； 2 ）根據以上建立的模型，通過引入容量和穩健度的概念為數字水印提供了一個客觀評價方法，並對一些數字水印演算法進行了分析； 3 ）為增強數字水印抵抗幾何攻擊的能力，研究了受幾何攻擊的圖象的復原問題，並給出了一個計算圖象幾何變換參數的方法； 4 ）通過分析圖象灰度插值演算法和haar小波變換的特點，結合hvs的掩蔽效應，設計了一個公開的有意義數字水印演算法，實驗結果表明本演算法具有較強的穩健性； 5 ）目前許多水印演算法都是通過在空域或頻域修改象素值的方法嵌入水印的，這種方法面臨著透明性和穩健性的矛盾，為解決這個矛盾，本文提出以圖象的某些穩定的數字特徵為水印的觀點，並結合hermite矩陣的特點設計了相應的水印演算法，實驗結果表明該演算法具有較好的穩健性。 -
A wavelet visible watermarking algorithm is proposed based on noise masking, then the improvement is made based on texture feature of watermark image
摘要根據圖像的噪聲掩蔽性設計了一種小波域可見水印演算法，並根據水印圖像的紋理特徵對演算法作了進一步改進。 -
An algorithm of watermark is put forward. it embeds watermark via masking characteristic of human vision texture, luminance and blue channel. this algorithm ensured the invisibility of watermark and demonstrated better robustness in common image processing
4 、給出了一種利用人類視覺紋理、亮度和藍色通道掩蔽特性嵌入水印的演算法，該演算法在保證水印不可見性的同時，對常見的圖象處理表現出較好的魯捧性。 -
In this paper, we design a new coding algorithm which is based on the frame of jpeg2000 and combines the masking feature of human vision system and the three component model of nature image
在此基礎上提出了一種以jpeg2000為編碼框架，結合人類視覺系統的掩蓋特性和圖像的三組成模型的編碼方法。
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