论文标题
基于像素强度值分解的密集志
Steganography Based on Pixel Intensity Value Decomposition
论文作者
论文摘要
本文着重于基于像素强度值分解的密集术。根据有效载荷能力和Stego质量，评估了许多现有的计划，例如二进制，斐波那契，Prime，Natural，Lucas和Catalan-Fibonacci（CF）。一种基于特定表示的新技术用于将像素强度值分解为16（虚拟）位平台，适合嵌入目的。新的分解方案具有理想的属性，因此，所有比特类别的总和不超过最大像素强度值，即255。实验结果表明，与用于嵌入消息的其他现有分解方案相比，新的分解方案在有效负载能力和Stepego质量之间提供了更好的折衷。但是，嵌入第6个位平面的过程中，建议的方案提供了更好的Stego质量。通常，与大多数现有的像素强度值分解技术相比，新的分解技术的质量对像素值的影响较小，而将消息嵌入更高的位平台中时。
This paper focuses on steganography based on pixel intensity value decomposition. A number of existing schemes such as binary, Fibonacci, Prime, Natural, Lucas, and Catalan-Fibonacci (CF) are evaluated in terms of payload capacity and stego quality. A new technique based on a specific representation is used to decompose pixel intensity values into 16 (virtual) bit-planes suitable for embedding purposes. The new decomposition scheme has a desirable property whereby the sum of all bit-planes does not exceed the maximum pixel intensity value, i.e. 255. Experimental results demonstrate that the new decomposition scheme offers a better compromise between payload capacity and stego quality than other existing decomposition schemes used for embedding messages. However, embedding in the 6th bit-plane onwards, the proposed scheme offers better stego quality. In general, the new decomposition technique has less effect in terms of quality on pixel value when compared to most existing pixel intensity value decomposition techniques when embedding messages in higher bit-planes.
