Canonical Huffman Coding (CHC) - Discrete Wavelet Transform (DWT) Method for Image Steganography

Steganography is a tool that allowed an information to transmit through revealing secret data in enormously growing network. The existing methods has limitations like performance and security problems. In this research, proposed a Canonical Huffman Coding (CHC) - Discrete Wavelet Transform (DWT) for image steganography. The images used in the research are Lena, pepper, barbarra and airplane. The images are pre-processed through image acquisition, filtering and histogram shifting. Then, the images are steganographic by proposed CHC-DWT method. Performance of proposed technique is analysed by performance by Peak Signal-to-Noise Ratio (PSNR), Normalized Coefficient (NC) and Structural Similarity Index Measure (SSIM). Proposed algorithm obtained PSNR 54.09 dB in Lena image, PSNR 53.67 dB in Pepper image, PSNR 54.37 dB in Barbarra image and PSNR 53.72 dB in Airplane image which is effecient than existing algorithms like Quick Response Method (QRM), Ballot Transform (Bat) and hybrid Lempel Ziv Welch (LZW) and Genetic Algorithms (GA)