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Still Images Watermarking Signature
Gwanggil Jeon 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6
This paper presents a watermarking method using signatures for still images. An image authentication approach is requested to guarantee reliability of conveyed image data. To protect copyright, watermarking with digital signature is required. The watermarking method is a tool for ownership identification or content honesty information. The conventional watermarking methods are not directly applicable. To alleviate this issue, we propose a new watermarking method which uses signature and Sobel mask. We apply Sobel mask to classify image into two regions: edge and smooth regions. Pre-generated diagonal and anti-diagonal shape patterns are applied to generate specific signature for watermarking. Performance assessment is conducted in simulation results section. Watermarking signatures are embedded in the test images, and three metrics were applied to assess the performance.
Masking-based Reinforced Edges for Blur Images
Gwanggil Jeon 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.8
We present an unsharp masking technique which applies two parameters α and β. We assume an original image is considered to be blurred due to low pass filter such as average filter. A high pass filter is applied in that image and α and β parameter combination of low pass and high pass images concludes output image. Simulation results indicate that (α,β)=(1.0,1.2) provides the most appropriate parameter set with giving reliable performance. Experiments were completed on 18 images, and their corresponding subjective and objective performances are provided.
Jeon, Gwanggil,Anisetti, Marco,Bellandi, Valerio,Damiani, Ernesto,Jeong, Jechang Elsevier 2009 Information sciences Vol.179 No.13
<P><B>Abstract</B></P><P>This paper focuses on recently advanced fuzzy models and the application of type-2 fuzzy sets in video deinterlacing. The final goal of the proposed deinterlacing algorithm is to exactly determine an unknown pixel value while preserving the edges and details of the image. To begin, we will discuss some artefacts of spatial, temporal, and spatio-temporal domain deinterlacing methods. In order to address the aforementioned issues, we adopted type-2 fuzzy sets concepts to design a weight evaluating approach. In the proposed method, the upper and lower fuzzy membership functions of the type-2 fuzzy logic filters are derived from the type-1 (or primary) fuzzy membership function. The weights from upper and lower membership functions are considered to be multiplied with the candidate deinterlaced pixels. Experimental results proved that the performance of the proposed method was superior, both objectively and subjectively to other different conventional deinterlacing methods. Moreover, the proposed method preserved the smoothness of the original image edges and produced a high-quality progressive image.</P>
Specification of the Geometric Regularity Model for Fuzzy <i>If-Then</i> Rule-Based Deinterlacing
Gwanggil Jeon,Min Young Jung,Anisetti, Marco,Bellandi, Valerio,Damiani, Ernesto,Jechang Jeong IEEE 2010 Journal of display technology Vol.6 No.6
<P>A fuzzy if-then rule-based intra-field deinterlacing method using geometric duality is presented in this paper. The proposed method is a content-based hybrid scheme switching between the well-known edge-based linear average method and the proposed geometric duality-based deinterlacing method. Conventional deinterlacing methods usually employ edge-based interpolation techniques within pixel-based estimations. However, they are somewhat sensitive to noise and intensity variations in the image. Moreover, their performance is visually unacceptable due to their failure to estimate edge direction. To reduce this sensitivity, the proposed algorithm investigates features from low-resolution images, and applies them to high-resolution images to calculate the missing pixels. We analyzed properties of the missing pixels and modeled them using geometric regularity. Depending on the features of the region, the missing pixels were interpolated in different ways. The proposed algorithm is computationally feasible and promises to be a good candidate for a low-cost hardware interpolator.</P>