【摘要】 为提高可视密图分存方案的编码效率,提出了基于自适应多像素编码的可视密图分存算法.该算法以行或列优先的方式顺序扫描秘密图像,直至遇到不同类型的像素或遇空结束为止,并以本轮扫描步长在各份额图像中填入相同长度的加密后像素,生成的所有份额与原始密图尺寸相同.分析和实验结果表明,该算法能够适应各种访问结构,对各种类型输入图像的还原效果较好,具有编码效率较高和算法复杂性较低的特点.更多还原

【Abstract】 To improve the encoding efficiency of the current visual secret sharing schemes,a novel encoding algorithm,self-adaptive multi-pixel encoding (SME),was proposed. SME scans a secret image row by row or column by column till meeting a different type pixel or reaching the end,and then fills the encrypted pixels with the length of the scanning span into each share. All the shares have the same dimension as the original image. The analysis and experiment results show that the proposed algorithm is well suitable for all kinds of access structures such as threshold structures and general access structures and can achieve a good quality of decrypted images for all kinds of input images such as black-white,gray-scale and chromatic images,and high encoding efficiency and low complexity are its main advantages.更多还原