Abstract
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 modification rate is Bitmap image. Threshold value is used as a parameter for selecting the high frequency pixels from the Cover Image. Threshold value is inversely proportional to the length of the input message that is passed during embedding process. The data embedding process is performed on the pixels that are found with the help of Threshold value by using Least Significant Bit Matching Revisited algorithm. The two parameters used for estimating the quality and the modification rate of an image are Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). 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. The improvement percentage varies as per the length of data.
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