针对数据隐藏算法嵌入容量有限的问题，提出一种新的插值方法，将其应用到数据隐藏领域中，并给出一种基于改进插值的可逆数据隐藏算法.该算法在信息嵌入时，先用文中提出的插值方法对原始宿主图像进行扩展，扩展时，每个扩展像素以4个宿主像素点作为参考，通过计算得出均值，再将其分配到待扩展的位置上，信息嵌入后可以无损地进行信息提取和图像的恢复.实验结果表明，该数据隐藏算法在嵌入容量、图像视觉质量方面均取得很好的效果，相比其他的数据隐藏算法，最大嵌入容量提高了24．78%~39．29%，最大藏量下的信噪比均保持在39 dB以上.%A new interpolation method was proposed in this paper aiming to improve the low embedding capacity for data hiding, followed with a reversible data hiding algorithm based on the improved interpolation. Before embedding secret data, this algorithm first enlarged the cover image using the proposed interpolation method. In the scaling-up process, then, pixels scaled-up were calculated by full use of four pixels in cover image so that more neighboring pixel values were referenced to calculate a mean value that was to be allocated. The cover image was recovered untainted after data extraction. This method has a low-time complexity and high-calculation speed. Experimental results show that the proposed method has a large embedding capacity and a good visual quality. Its maximum capacity increases 24. 78~39. 29 percent and the PSNR is higher than 39 dB compared with other data hiding methods.
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