在資訊隱藏或資訊嵌入的技術中， LSB 的方法在這個領域中是最廣為人知的，LSB 通常假設隱藏的資訊都是以2為基底來嵌入，然而當所需隱藏的資訊並不是2的基底時，就必須做基底轉換的額外動作，同時也造成了隱藏空間的浪費，
而且目前其他所提出來改進LSB的方法，僅是改善嵌入資訊後的影像品質，但取出資訊的方法依舊等同於LSB，這對於一個廣為人知的嵌入技術來說並不安全。

□□]此本篇論文發展出一個新的資訊隱藏技術，可以適用於不同隱藏資料的數字基底，解決了可能浪費隱藏空間的問題，同時，我們跳脫了LSB的技術架構，
也就是說取出資料了方法不再如同LSB，而是必須用我們發展的演算法取出資料，但所花費的計算時間接近於LSB，且隱藏後的影像品質甚至優於其他LSB相關的方法。

There are many of research have been proposed for embedding information into cover images. The LSB approach is a well known method to most of people in the field. It usually assumes that the base of the numerical data being hidden is a whole power of 2. When the base of the number is not a power of 2 , a base transform must be used to convert it.
The study presents a novel and simple method for high-hiding capacity. The concept is based on the concept of cyclic group. Unlike the other method to improve the quality of stego-image, but the approach of extract secret data is still the same with LSB. Our method escape the frame of LSB, that means the approach to extract secret data is not the same with LSB but the quality of stego-image is even better than other optimal LSB methods

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