使用评估RMSE, PSNR和SSIM的便携式文档格式的隐写术中图像的最佳比例大小

Irzal Ahmad Sabilla, Maulida Meirisdiana, Dwi Sunaryono, M. Husni
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引用次数: 4

摘要

隐写术是一种将消息隐藏到文件中的数据加密方法。通常使用的文件是图像作为隐藏数据的地方。一种常用的隐写术是最低有效位(LSB)。LSB机制将数据插入封面文件中每个像素的最后一位。在本文中,我们构建了应用系统加密,将可移植文档格式(Portable Document Format, PDF)文件插入到图像中。使用LSB隐写术将存储在PDF文件中的每700个字符插入图像中。使用的图像分为200*200像素、400*400像素和1000*1000像素三个尺寸类别,每个类别中有100张实验图像。利用均方根误差(RMSE)、结构相似指数(SSIM)和峰信比(PSNR)对插入结果与原始图像进行比较。实验结果表明,当图像尺寸为1000*1000时,RMSE测量结果平均为7.68e-06 dB, SSIM测量结果平均为0.999999985 dB, PSNR测量结果平均为102.2891185 dB。从评估方法的测量结果来看,将PDF文件插入图像的最佳比例是图像的每两个比特可以容纳一个PDF文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Best Ratio Size of Image in Steganography using Portable Document Format with Evaluation RMSE, PSNR, and SSIM
Steganography is a data encryption method to hide messages into files. Files that are often used are images as a place to hide data. One type of steganography that is often used is Least Significant Bit (LSB). The LSB mechanism inserts data into the last bit of each pixel in the cover file. In this paper we build application system encryption to insert Portable Document Format (PDF) files into images. Every 700 characters stored in a PDF file are inserted into the image using LSB Steganography. The images used are divided into three size classes, namely 200*200 pixels, 400*400 pixels, and 1000*1000 pixels with 100 experimental images in each class. The results of the insertion are compared with the original image using the evaluation of Root Mean Squared Error (RMSE), Structural Similarity Index (SSIM), and Peak to Signal Ratio (PSNR). The experimental results show that an image with a size of 1000*1000 shows the best results with RMSE measurements showing an average result of 7.68e-06 dB, SSIM showing an average result of 0.999999985 dB, and PSNR showing an average result of 102.2891185 dB. From the measurement results of the evaluation method, the best ratio for inserting a PDF file into an image is that every two bits of an image can accommodate one bit of a PDF file.
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