王荫旺改进型最小显著位算法在图像隐写术中的增强应用

John Christopher D. Ilacad, Harry Chris John C. Decapia, Mark Anthony S. Mercado, Jonathan C. Morano, Mark Christopher R. Blanco
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引用次数: 0

摘要

研究人员修改了 Wang-Yin-Wang LSB 算法的开发,因为该算法无法保留隐藏图像的所有比特,因为载体图像中的像素值不足。对隐藏图像使用 LZW 压缩算法是解决这一问题的方法之一。结果表明,经过压缩后,载波图像内部有很大的容量,可以容纳更大的隐藏图像,而不会使其看起来有明显的不同。这种方法使得在载波图像中插入压缩数据变得容易。此外,测试结果表明,除了提高载体图像的容量外,所建议的方法在偷窃图像的视觉质量方面也优于王银旺算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of Wang-Yin-Wang Improved Least Significant Bit Algorithm Applied in Image Steganography
Researchers modified the development of Wang-Yin-Wang LSB Algorithm because it has not been able to maintain all the bits of the hidden image since there were insufficient pixel values in the carrier image. Use of LZW Compression algorithm for the hidden image is one way to solve this issue. The results showed that after compressing, there is now much capacity inside the carrier image to hold a bigger hidden image without making it look significantly different. This approach makes it easy to insert compressed data into a carrier image. Furthermore, besides improving capacity of carrier image as evidenced by test results, suggested method outperforms Wang-Yin-Wang’s algorithm in terms of visual quality of the stego image.
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