Scholarlink

<p>In recent years, the transmission of multimedia content has become an essential aspect of information security. Information security can be divided into two essential components: content hiding and cryptography. For secure communication, both content hiding and cryptography are essential. In the proposed research, the combination of steganography with image pixel value encryption techniques has been demonstrated to enhance security. Before the embedding operation, the secret images are encrypted to improve the confidentiality of the hidden image. Encryption operation is performed using the Geometric Mean that includes “Arithmetic Progression (AP), Harmonic Progression (HP) and Geometric Progression (GP)” applied to “Secret Image”. Embedding is then carried out using the Contourlet Transform (CT) to ensure better visual quality of the stego image. The presented approach utilises a Laplacian Pyramidal Directional Filter Bank (LPDFB). Laplacian pyramids capture contours from the image and craft a linear structure using a Directional Filter Bank (DFB). Experimental results confirm that the proposed double-layer encryption-based steganography technique functions as a robust image embedding scheme, providing high imperceptibility while preserving the integrity of the secret image under various attacks, similar to a robust watermarking approach. Several types of security outbreaks, including noise tampering, compression-based tampering, rotational alterations, and cropping-based alterations, were performed on stego images and recovered extracted secret images. The average experimental results of the proposed technique achieved 45.5 dB (decibels) Peak to Signal Noise Ratio (PSNR), 0.9837 Structural Similarity Index (SSIM), 0.0020 Bit Error Rate (BER) and 0.9951 Normalized Correlation Coefficient (NCC), which is better than existing methods. The generated high-quality stego image is secured against various steganalysis tampered conditions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Efficient image steganography method using contourlet transform and geometric-based pixel encryption for enhanced security

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月9日

查看全文
  • Rajesh Kumar,
  • Sunita Singhal,
  • Vijay Kumar Sharma

摘要

In recent years, the transmission of multimedia content has become an essential aspect of information security. Information security can be divided into two essential components: content hiding and cryptography. For secure communication, both content hiding and cryptography are essential. In the proposed research, the combination of steganography with image pixel value encryption techniques has been demonstrated to enhance security. Before the embedding operation, the secret images are encrypted to improve the confidentiality of the hidden image. Encryption operation is performed using the Geometric Mean that includes “Arithmetic Progression (AP), Harmonic Progression (HP) and Geometric Progression (GP)” applied to “Secret Image”. Embedding is then carried out using the Contourlet Transform (CT) to ensure better visual quality of the stego image. The presented approach utilises a Laplacian Pyramidal Directional Filter Bank (LPDFB). Laplacian pyramids capture contours from the image and craft a linear structure using a Directional Filter Bank (DFB). Experimental results confirm that the proposed double-layer encryption-based steganography technique functions as a robust image embedding scheme, providing high imperceptibility while preserving the integrity of the secret image under various attacks, similar to a robust watermarking approach. Several types of security outbreaks, including noise tampering, compression-based tampering, rotational alterations, and cropping-based alterations, were performed on stego images and recovered extracted secret images. The average experimental results of the proposed technique achieved 45.5 dB (decibels) Peak to Signal Noise Ratio (PSNR), 0.9837 Structural Similarity Index (SSIM), 0.0020 Bit Error Rate (BER) and 0.9951 Normalized Correlation Coefficient (NCC), which is better than existing methods. The generated high-quality stego image is secured against various steganalysis tampered conditions.