Novel High-capacity Data Hiding Technique Using Summation and LSD Parity

Theaim of designing algorithms for data hiding applications is to increase the hiding capacity and keep the original image quality. However, both goals are normally contradictive to each other. Owing to this, the proposed schemein this paper is to embed the secret bit sequence into the pixel groups by adopting the summation of neighboring pixel values and the achieved parity of Least Significant Digit (LSD). The summation method utilizes the concept of pixel groups from the method of pixel value differencing (PVD) but not using the difference values for data hiding. Instead, the decimal representation of LSD summation relationship from two neighboring pixels is adopted for adjusting pixel values for data hiding. At the same time, the parity of second pixel value is used for increasing one more hidden-bit while using the summation relationship for data hiding. Data extraction can be done in the reverse direction. Therefore, the overall hiding capacity can be greatly improved. Experimental results show that the proposed data hiding algorithm can have better performance than normal PVD and LSB methods. Also, the better image quality can be assured.

關鍵字

capacity ； data hiding ； parity ； summation

並列摘要

設計資料隱藏技術的主要目標在於能同時提升隱藏容量與保持原來的影像品質。然而，這兩項目標通常很難同時達成。有鑒於此，本論文提出的方法為，採用影像當中的相鄰像素值之和與其最小位數的奇偶數特性，並將秘密位元序列隱藏於其中。像素值和之方法所採用之概念來自於像素差值法（PVD），但是我們並未採用差值來隱藏資料。相對的，我們利用的是像素值和個位數的十進位表示法關係，來調整像素值以隱藏資料。同時，第二個像素值的奇偶性被用來多增加一個位元的藏密量。資量萃取的方式只要逆向進行即可完成。因此，整體的資料隱藏容量可以獲得大幅度的提升。實驗結果顯示，本論文提出之方法可以比一般的PVD或LSB演算法得到更佳之效能，而且，影像品質也可獲得確保。

並列關鍵字

容量；資料隱藏；極性；總和

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