A Novel Least Significant Bit Steganographic Method Based on Hough Transform

The world becomes a digital era and growth rapidly in technology, so transmission data secretly and securely becomes an essential topic. Many different techniques are available for securing transmission data and using images to embed secret data. Some of these techniques used Hough Transform in their technology. The main goal of these methods is embedding a huge amount of data into images with high level of imperceptibility. However, increasing the amount of embedded data into the image decreasing its quality. Therefore, this work propose a new steganography method based on Least Significant Bit (LSB) using Hough Transform to improve the quality of stego image with increasing the amount of embedded data. The proposed method inverts the LSBs of image pixels to improve the stego image quality. First, we detect edges areas by using improved edge detection filter. Then, we invert LSBs for the pixel in edge area pixels. Finally, the LSBs smooth area pixels of the cover image are inverted. The performance evaluation of the presented method is measured by the stego image quality and the amount of embedded data. The results show that the proposed has better peak signal to noise ratio (PSNR) and capacity in comparison with the current steganography methods.