有此可知,資訊隱藏技術既然是在於隱藏一份資訊,所做出來的技術就需要符合幾項條件,首先當我們將資料隱藏到一份有意義的資料中時,對於這份有意義的資料不能破壞太多,否則就喪失隱藏的原意,讓其他的使用者發現我們有東西隱藏在裡面,另外所能隱藏的量越多越好,這樣可以方便使用者隱藏多一點的東西。本文所提出的資訊隱藏方式是利用圖形來隱藏重要資訊,除了符合一般方法所擁有的這兩種特性外,我們的方法還可以使我們的圖形在忍受失真壓縮後,完整的將原本隱藏在內的資訊萃取出來,因為現在已經很少人使用沒有失真壓縮的圖形在網路上傳輸了,而且傳輸失真壓縮過的圖形檔案大小比較小,對於使用者來說是比較方便的,另外在失真壓縮後還能完整的取出原來的所有資料,才適合隱藏文字或不能損失任何位元的資料。 Lossy compression-tolerant data hiding methods are proposed in this thesis. Data hiding hides the confidential data secretly. The unauthorized people are difficult to detect hidden data. It provides a secure channel to transmit confidential information. Nowadays, it is a very important technique when we are progressively going to computer network age. There are many hiding method that have proposed. But the most of methods will lost an amount of hiding data after do the lossy compression process. However, there are few people will transmit no lossy compression image in the public internet. When people use our method, the receiver can extracts complete data correctly from the lossy compression image. It is fit to hide text data and transmit image in public internet environment now. The propose methods hide data in an image in conjunction with a lossy compression. The image which hides data is called a stego-image. The reverse algorithm extracts data correctly after receiving the stego-image (i.e., the image which hides data). Our mechanism saves the amount of data transmitted on the Internet. Also, it is difficult for human visual system to detect the difference between the original image and the steog-image. Besides, it can speed up transmission of stego-images and is regular that transmit lossy compression image on the internet now.