An Image Hiding Method of Block Matching Way With Improved Texture Fusion Feature and High Embedding Capacity Product Code Over Z4

This paper presents a novel image hiding method with improved block matching way and high embedding capacity that allows the important (IM) to be several times larger than cover image. Multi-layered least-significant-bit (LSB) planes of (CI) are obtained for constructing candidate block-matching set (CBMS) by using features fusion which consists texture wavelet transform gray level difference; By combining search best-matching blocks from CBMS, Huffman coding is used compress data including indices blocks, not-well-matched part IM parameters into secret information flow embedded double-layered bit CI rate encoder. Because payload we need, SPAM will chosen test performance resisting steganalysis attack can obviously improve security stego images.