A Novel Image Steganographic Approach for Hiding Text in Color Images using HSI Color Model
This addresses the need for secure and imperceptible text hiding in images, but it appears incremental as it builds on known techniques like HSI and LSB.
The paper tackles the problem of hiding text in color images undetectably by proposing a steganographic method using the HSI color model and LSB embedding in the Intensity Plane, achieving higher PSNR values and good imperceptibility compared to existing methods.
Image Steganography is the process of embedding text in images such that its existence cannot be detected by Human Visual System (HVS) and is known only to sender and receiver. This paper presents a novel approach for image steganography using Hue-Saturation-Intensity (HSI) color space based on Least Significant Bit (LSB). The proposed method transforms the image from RGB color space to Hue-Saturation-Intensity (HSI) color space and then embeds secret data inside the Intensity Plane (I-Plane) and transforms it back to RGB color model after embedding. The said technique is evaluated by both subjective and Objective Analysis. Experimentally it is found that the proposed method have larger Peak Signal-to Noise Ratio (PSNR) values, good imperceptibility and multiple security levels which shows its superiority as compared to several existing methods