Robustness evaluation of modified CRS-based reversible image steganography under noise-induced distortions using color space analysis
摘要
This paper presents a robustness evaluation of a modified Color Reversible Steganography (CRS) scheme under various noise-induced distortions across multiple color spaces namely, Grayscale, RGB, CMY, YIQ, HSI, and YCbCr. Using standard test images, the method’s performance is assessed through Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) in both clean and noisy environments. In noise-free conditions, the YIQ color space demonstrates superior visual fidelity with PSNR greater than 40 dB and SSIM approximately equal to 0.998. Under Gaussian, Salt & Pepper, and Poisson noise, YIQ consistently outperforms others, retaining PSNR up to 31.12 dB and SSIM up to 0.986. Poisson noise causes minimal degradation, while Salt & Pepper has the most impact. Results confirm the enhanced imperceptibility and resilience of the proposed CRS approach, especially in the YIQ domain, making it well-suited for reliable and secure steganographic applications in real-world noisy environments.