Abstract
Cover selection is one of the important techniques to improve the security of image steganography. However, existing methods mostly focus on cover selection of grayscale image. In this paper, we propose a novel Cover Selection Algorithm of color images based on Hybrid Local Texture Descriptor, named HLTD-CSA. A green-channel related Local Binary Pattern (LBP) is designed which utilizes local statistics of intra-channel and cross-channel correlations efficiently. Besides, Local Phase Quantization is introduced to serve as a complementary component of our improved LBP. To further enhance the performance of cover selection for color image, a hybrid local texture descriptor (HLTD) is obtained by combining these two types of local texture descriptors with a proper combination strategy. Finally, the proposed algorithm selects images which have larger values of HLTD to construct the cover image set. Extensive experiments are conducted to verify the effectiveness of our method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Visual Communication and Image Representation
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
