An Enhanced Edge Adaptive Steganography Approach Using Threshold Value for Region Selection
This is an incremental improvement for steganography applications, focusing on better hiding data in images with minimal quality loss.
This paper tackles the problem of improving steganography by enhancing image quality and modification rate in stego images, achieving about 0.2-0.6% improvement in quality and 4-10% improvement in modification rate compared to edge detection techniques like Sobel and Canny.
This paper attempts to improve the quality and the modification rate of a Stego Image. The input image provided for estimating the quality of an image and the modified rate is a bitmap image. The threshold value is used as a parameter for selecting the high frequency pixels from the Cover Image. The data embedding process are performed on the pixels that are found with the help of Threshold value by using LSBMR. The quality of an image is estimated by the value of PSNR and the modification rate of an image is estimated by the value of MSE. The proposed approach achieves about 0.2 to 0.6 % of improvement in the quality of an image and about 4 to 10 % of improvement in the modification rate of an image compared to the edge detection techniques such as Sobel and Canny.