High Embedding Capacity Color Image Steganography Scheme Using Pixel Value Differencing and Addressing the Falling-off Boundary Problem

In this paper, we changed the methodology for pixel value di®erencing. The proposed method work on RGB color images improves the existing PVD technique in terms of embedding capacity and overcomes the issue of falling o® boundaries in the traditional PVD technique, and provides security to the secret message from histogram quantization attack. Color images are composed of three di®erent color channels (red, green, and blue), so we cannot apply the traditional pixel value di®erencing algorithm to them. Due to that, the proposed technique divides the RGB photograph in red, blue, and green channels. Following that the modi¯ed pixel value di®erencing algorithm is employed to all successive pixels of color channels. We get the total embedding capacity by adding the embedding capacities of each color component. After embedding the data, we concatenate the color channels to get the stegoimage. On a series of color images, we tested our pixel value di®erencing approach and found that the stego-picture's visual excellence and payload capacity were reasonable. The variation in histogram between the stego and cover photographs was minor, making it resistant to histogram quantization attacks, and the suggested approach also solves the issue of falling o® the boundary.