Hsiang-Cheh Huang

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An innovative watermarking scheme based on genetic algorithms (GA) in the transform domain is proposed. It is robust against watermarking attacks, which are commonly employed in the literature. In addition, the watermarked image quality is also considered. In this paper, we employ GA for optimizing both the fundamentally con4icting requirements.(More)
In this paper, we propose a new algorithm in reversible data hiding, with the application associated with the quick response (QR) codes. QR codes are random patterns, which can be commonly observed on the corner of posters or webpages. The goal of QR codes aims at convenienceoriented applications for mobile phone users. People can use the mobile phone(More)
Genetic algorithm (GA) has been successfully applied to codebook design for vector quantization (VQ). However, most conventional GA-based codebook design methods need long runtime because candidate solutions must be "ne tuned by LBG. In this paper, a partition-based GA is applied to codebook design, which is referred to as genetic vector quantization (GVQ).(More)
With advances in hardware technology, conventional approaches to software development are not effective for developing efficient algorithms for run-time environments. The problem comes from the overly simplified hardware abstraction model in the software development procedure. The mismatch between the hypothetical hardware model and real hardware design(More)
In this paper, we introduce a novel image watermarking scheme using singular value decomposition (SVD) and micro-genetic algorithm (micro-GA). In an SVD-based watermarking scheme, the singular values of the cover image are modified by multiple scaling factors to embed the watermark image. The proper values of scaling factors are optimized and obtained(More)
Compressive sampling is a newly developed topic in the field of data compression. For current researches, compressive sampling techniques focus on compression performances. There are very few papers aiming at the integration of watermarking into compressive sampling systems. In this paper, we propose an innovative scheme that considers the copyright(More)
With the widespread use of identification systems, establishing authenticity with sensors has become an important research issue. Among the schemes for making authenticity verification based on information security possible, reversible data hiding has attracted much attention during the past few years. With its characteristics of reversibility, the scheme(More)
A novel robust digital image watermarking scheme based on singular value decomposition (SVD) and micro-genetic algorithm (micro-GA) is proposed in this paper. In an SVD-based watermarking scheme, the singular values of the cover image are modified to by considering multiple scaling factors to embed the watermark image. Determining the proper values of(More)
For medical treatments, the integrity of the medical images, the authenticity of corresponding medical records, and the privacy of the patients are crucial requirements for the diagnosis of patient's disease. Therefore, how to retain the validity between images and medical records is an important topic for researches and real applications. In this paper, we(More)