Mehmet Zeki KONYAR
In recent years, the huge increase in digital images made data hiding more and more popular. Many new methods have been proposed to send hidden text inside ordinary images for information security. These methods aim to embed more secret bits in the cover image and keep the visual quality as possible as high. Image feature extraction-based data-hiding methods have a big importance for embedding procedures. Local binary pattern (LBP) is one of the important texture feature extractors. In this study, it is proposed to use a modified LBP-based data hiding method for images with distance-based local neighbors. The proposed method keeps the visual quality while embedding a high number of secret bits with security. In the proposed method, the cover image divides into 3x3 non-overlapping blocks. The center of the blocks defines the center pixel, and the other eight pixels are defined as neighbors. Each block contains five secret bits. So, the LBP code is constructed by binary comparing the first five pixels with their next neighbors. The secret message bits are ciphered with the obtained LBP codes by logical ex-or operation. The three bits of ciphered secret message embed into the three least significant bits of the center pixel, the remaining bits are embedded into the least significant bits of the last two neighbor pixels. The secret message embeds into all blocks and the stego image sends to the receiver. The receiver extracts the secret message as similar as embedding. Firstly, the LBP codes are obtained from stego blocks. Then, related bits of the center pixel and neighbor pixels are extracted and logical ex-or operated with LBP codes. The experimental results show the proposed method achieves a high visual quality with 47 dB PSNR and 0.989 SSIM for 144501 secret bits capacity for test images. The proposed method has comparable results with the literature in terms of quality, security, and capacity. ORCID NO: 0000-0001-8914-5553

Anahtar Kelimeler: Data Hiding, Local Binary Pattern, Texture Features, Information Security