Fit Modulo X的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

國立清華大學 資訊系統與應用研究所 陳朝欽所指導 張鳳如的 A Steganographic Method Using MRF-Synthesized Textures as Cover Images (2010),提出Fit Modulo X關鍵因素是什麼,來自於藏密、藏密學、紋理、MRF。

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A Steganographic Method Using MRF-Synthesized Textures as Cover Images

為了解決Fit Modulo X的問題,作者張鳳如 這樣論述:

With the highly developed technology, the Internet is closely combined with human life. The issue of how to protect personal privacy even commercial confidentiality is attention-getting. Steganography embed secret messages into multimedia as images, audios, videos and etc. to avoid hackers abstract

or alter the important data from one’s sending documents. We adopt a grayscale statistical texture synthesizer based on MRF to generate an image of user-requested size to fit the secret message. Each of our synthesized texture images as cover images contains four gray values: 30, 100, 170, and 240.

We encrypt secret messages via exponent and modulo operations. Then we partition the encrypted bit sequence of the secret message as many of 2-bit words: 00, 01, 10 and 11, thus each 2-bit word naturally corresponds to one of the four gray values 30, 100, 170 and 240. To be more secure, we adopt a

circular shift technique on (30, 100, 170, 240) such that the same 2-bit words need not be embedded into the same pixel values and the security could be further ensured. Experiments are given to demonstrate our approach.