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Figure 5. Comparisons between the previous and posterior predictors visually (before hiding) the best- chosen block’s matching index in dataset (a) color images and (b) grayscale images The suggested approach offers greater flexibility than the existing schemes, when the new system is compared to several well-known contemporary designs. As previously mentioned, evaluation criteria like SSIM, MSE, PSNR, and BER are exploited to assess the optical robustness and efficiency of the suggested technology. The highest PSNR of the scheme proposed is found in comparative studies, where no attack is louder than 75.7678 dB in Table 3, 68.6890 dB in Table 4, and 70.3197 in Table 5. The greatest MSE values are closer to one and are 0.0012331 and 0.0042543 in Table 3 and Table 4. The SSIM merits are nearer to one, as shown in the tables, ensuring that the proposed framework is not perceived.

Figure 5 Comparisons between the previous and posterior predictors visually (before hiding) the best- chosen block’s matching index in dataset (a) color images and (b) grayscale images The suggested approach offers greater flexibility than the existing schemes, when the new system is compared to several well-known contemporary designs. As previously mentioned, evaluation criteria like SSIM, MSE, PSNR, and BER are exploited to assess the optical robustness and efficiency of the suggested technology. The highest PSNR of the scheme proposed is found in comparative studies, where no attack is louder than 75.7678 dB in Table 3, 68.6890 dB in Table 4, and 70.3197 in Table 5. The greatest MSE values are closer to one and are 0.0012331 and 0.0042543 in Table 3 and Table 4. The SSIM merits are nearer to one, as shown in the tables, ensuring that the proposed framework is not perceived.

Related Figures (11)

Figure 1. Conceptual diagram of embedding algorithm
Figure 1. Conceptual diagram of embedding algorithm
The plain or data text will be transformed into a certain format of image as an outcome of this action. The text to be encrypted will be hidden in that image. To view the text by the receiver, the image must be segmented first into blocks. The concealed key will be exploited to make some adjustments to each color component. Hackers will face a big problem in breaking the encryption and stealing the information will be impossible. Figure 3 explains the general framework for concealing the secret data by the proposed systems. These figures represent the main steps performed on both sides by the sender and receiver.
The plain or data text will be transformed into a certain format of image as an outcome of this action. The text to be encrypted will be hidden in that image. To view the text by the receiver, the image must be segmented first into blocks. The concealed key will be exploited to make some adjustments to each color component. Hackers will face a big problem in breaking the encryption and stealing the information will be impossible. Figure 3 explains the general framework for concealing the secret data by the proposed systems. These figures represent the main steps performed on both sides by the sender and receiver.
Figure 3. Embedding the secret data into the source image 3.2. Extraction and decryption text
Figure 3. Embedding the secret data into the source image 3.2. Extraction and decryption text
Figure 4. Extraction the secret data into the source image
Figure 4. Extraction the secret data into the source image
PSNR is typically employed to calculate the proportion between the maximum potential power ot signs and the power of corrupting distortion that influences image accuracy. Mainly, the ratio is used to differentiate between the quality of a stego-image containing hidden data to that of an empty cover image. In (5) is used to determine the PSNR value.
PSNR is typically employed to calculate the proportion between the maximum potential power ot signs and the power of corrupting distortion that influences image accuracy. Mainly, the ratio is used to differentiate between the quality of a stego-image containing hidden data to that of an empty cover image. In (5) is used to determine the PSNR value.
Table 2. Comparative performance of results of four parameters obtained from an implementation of proposed method on color images for (128,256) bytes Table 3. Comparative performance of results of three parameters obtained from an implementation of method on grayscale images for (1000-character) [21]
Table 2. Comparative performance of results of four parameters obtained from an implementation of proposed method on color images for (128,256) bytes Table 3. Comparative performance of results of three parameters obtained from an implementation of method on grayscale images for (1000-character) [21]
lable 4. Comparative performance of results of three parameters obtained from an implementation of method on grayscale images for (5000-characters) [21]
lable 4. Comparative performance of results of three parameters obtained from an implementation of method on grayscale images for (5000-characters) [21]
Table 5. Comparative performance of results of three parameters obtained from an implementation of method on grayscale images for (5000 characters) [28]
Table 5. Comparative performance of results of three parameters obtained from an implementation of method on grayscale images for (5000 characters) [28]
TELKOMNIKA Telecommun Comput El Control, Vol. 21, No. 6, December 2023: 1286-1297
TELKOMNIKA Telecommun Comput El Control, Vol. 21, No. 6, December 2023: 1286-1297
Table 3. Size of the images used before and after embedding (1000-5000) character data hiding
Table 3. Size of the images used before and after embedding (1000-5000) character data hiding
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