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    A high-capacity reversible data hiding method: HCRHide
    (Taylor & Francis Ltd, 2014) Yalman, Y.; Akar, F.
    Reversible data hiding methods have drawn considerable attention in the last decade, which allow full recovery of the original image used for embedding secret data as well as avert the third parties who should not realise the existence of hidden data. In this paper, we propose a highcapacity reversible data hiding method called HCRHide based on the Neighbour Mean Interpolation (NMI) method and the R-weighted Coding Method (RCM). Throughout a joint imperceptibility and data hiding capacity evaluation, results have approved high performance of the proposed method over the existing reversible data hiding methods.
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    A web-based digital analysis interface for image quality assessment
    (Taylor & Francis Ltd, 2014) Yalman, Y.; Akar, F.; Bayilmis, C.
    Image processing and transmission systems may introduce some amount of distortion or artefacts in a digital image. This fact usually leads to a visual or statistical image quality assessment (IQA) required in many applications and research studies in order to analyse a product image in terms of deteriorations as well as effects of the processing. There are numerous IQA criteria presented in the literature separately that makes it really difficult both for use in comparative analyses and for educational purposes. In this presented work, a user friendly webbased digital educational interface for full-reference or no-reference image quality assessment using MATLAB builder NE has been developed. In addition to this, developed system performs user-defined optional deteriorations (median noise, Gaussian blur, motion blur, high-pass filter and jpeg compression) on the image and assesses deterioration of the image. It is an extremely easy, fast and economical way of analysing digital images, especially designed for researchers, graduate and postgraduate students who work on digital image processing. Using this webbased tool well contributes to teaching all of the IQA methods and quality effects of systematic distortions on the image as well as establishes a scientific benchmark for researchers.