The Effect of Compression Algorithms on Image Steganography

Abstract

Steganography is the hiding of important and different structure of information in other medium without discovered method by unauthorized. In this research, we proposed a data hiding scheme using multilevel image steganography and losslesscompression. Apply multi-level steganography, in first level using Least Significant Bits (LSB) techniques and in second level using Pixel Value Difference technique (PVD). Lossless data compression technique Huffman and Run Length Encoding between first and second level of steganography are applied. Comparative analysis of proposed method has been done on basis of parameters like PSNR, MSE. The results showed that the compression algorithms have no significant impact on the process of steganography. Also,results demonstrated that the Huffman compression algorithm highly efficient than RLE comparison algorithm. Comparison was based on the PSNR values that were obtained, as an example, the value of PSNR is equal to 43.36dB when using Huffman to compress first image and the value is 40.69 dB when using RLE algorithm for image compression.