Title :
Logo embedding in grayscale images using turbo product codes
Author :
Al Maeeni, Sara ; Kalbat, Fatma ; Al-Ahmad, Hussain
Author_Institution :
Electr. & Comput. Eng. Dept., Khalifa Univ. of Sci., Sharjah, United Arab Emirates
Abstract :
In this paper, we investigate the robustness achieved by hard-input hard-output (HIHO) turbo product code (TPC) in a grayscale image watermarking. The TPC scheme is based on the concatenation of a BCH product code. The general concept of the TPC is to construct two or more simple codes in order to achieve remarkable error performance. Unlike many proposed algorithms in the literature, HIHO-TPC require a manageable complexity encoding and decoding algorithms. Firstly, the data in the logotype (logo) is encoded using TPC and then inserted in the image. Different grayscale images are investigated and evaluated in terms of robustness to different photometric attacks by using Stirmark software package. Experimental results show that the proposed blind watermarking algorithm has a strong ability of extracting the embedded logo in different attacks such as JPEG compression, cropping, and 3×3 median filtering.
Keywords :
BCH codes; decoding; image coding; image colour analysis; image watermarking; product codes; turbo codes; BCH product code concatenation; HIHO TPC; JPEG compression; Stirmark software package; blind watermarking algorithm; complexity encoding; cropping; decoding algorithms; error performance; grayscale image watermarking; hard-input hard-output turbo product code; logo embedding; logotype; median filtering; photometric attacks; turbo product codes; Decoding; Discrete cosine transforms; Gray-scale; Image coding; Robustness; Software algorithms; Watermarking; BCH; Digital Watermark; Error Correction Code; TPC; grayscale;
Conference_Titel :
Information and Communication Technology Research (ICTRC), 2015 International Conference on
Conference_Location :
Abu Dhabi
DOI :
10.1109/ICTRC.2015.7156430