Image Steganography based on Enhanced Payload Capacity using Hybrid Edge Detection and Least Significant Bit Steganography

Abstract

Gigantic growth in technology leads to widespread usage of multimedia data over different social media platforms, internet, and internet of things. It is crucial to maintain the privacy and security of the data. Image steganography is process of hiding text, image, or audio inside cover image. This paper presents the image hiding technique using Least Significant Bit (LSB) steganography based on hybrid edge detection that maximized the data embedding capacity of the cover image. The performance of the system is evaluated for hybrid edge detection using pair of various edge detection techniques such as Canny, Sobel, Prewitt, and Roberts. The results of proposed steganography approach is estimated for different payload capacity based on Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Metrics (SSIM), Cross-correlation (XCORR), and Universal Image Quality Index (UQI). It is examined that proposed approach performs better than existing state of arts for image steganography.