• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.101-109
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• 2004

This paper proposes an adaptive watermarking algerian technique concerning the visual characteristics of human. To embed watermark to an image, features such as contrast, brightness, and texture are used. The propose method adaptively select blocks and determine the position and intensity of watermark to be applied, concerning the visual characteristics of a human. The experiment involves cropping, image enhancement, low pass filtering, and JPEG compression, which are compared on detectability of watermark against image manipulation and attack

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.522-524
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• 2019

In spite of a rapid development in the quality of built-in mobile cameras, their some physical restrictions hinder them to achieve the satisfactory results of digital single lens reflex (DSLR) cameras. In this work we propose an end-to-end deep learning method to translate ordinary images by mobile cameras into DSLR-quality photos. The method is based on the framework of generative adversarial networks (GANs) with several improvements. First, we combined the U-Net with DenseNet and connected dense block (DB) in terms of U-Net. The Dense U-Net acts as the generator in our GAN model. Then, we improved the perceptual loss by using the VGG features and pixel-wise content, which could provide stronger supervision for contrast enhancement and texture recovery.

• Journal of the Korean Electrochemical Society
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• v.14 no.4
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• pp.191-195
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• 2011

Wet chemical etching methods were utilized to conduct Si surface texturing, which could enhance photoelectrochemical hydrogen generation rate. Two different etching methods tested, which were anisotropic metal-catalyzed electroless etching and isotropic etching. The Si nano-texture that was fabricated by the anisotropic etching showed ~25% increase in photocurrent for H2 generation. The photocurrent enhancement was attributed to the reduced reflection loss at the nano-textured Si surface, which provided a layer of intermediate density between water and the Si substrate.

• Proceedings of the Korean Magnestics Society Conference
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• 2009.12a
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• pp.89-90
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• 2009

To summarize, we observed a spatial distribution of damping tensor gives a different simulation result. When we use LLG equation, especially dealing with spatially-varying magnetization texture, it is expected that damping tensor should be considered instead of constant damping.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.793-794
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• 2008

The block size of intra prediction mode can differentiate the texture area from the homogeneous area of image. This information can be used to enhance the size resolution of image. Specifically, in this paper, we apply the bicubic interpolation or the bilinear interpolation adaptively selected the intra prediction mode of the H.264 compression.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.27-34
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• 2011

In this paper, the novel approach for image contrast enhancement is introduced. The method is based on the unsharp mask and directional information of images. Since the unsharp mask techniques give better visual quality than the conventional sharpening mask, there are much works on image enhancement using unsharp masks. The proposed algorithm decomposes the image to several blocks and extracts directional information using DCT. From the geometric properties of the block, each block is labeled as appropriate type and processed by adaptive unsharp mask. The masking process is skipped at the flat area to reduce the noise artifact, but at the texture and edge area, the adaptive unsharp mask is applied to enhance the image contrast based on the edge direction. Experiments show that the proposed algorithm produces the contrast enhanced images with superior visual quality, suppressing the noise effects and enhancing edge at the same time.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.1
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• pp.1-11
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• 2007

This study suggests the new technique to express the texture that copes with the demands of the times by trying to apply the new Nuno-felt technique, to the silk, the representative material for emotion, in order to provide the basic data for the development of highly value added and competitive materials in the domestic and international markets as well as to meet the demand of consumers in the high emotion age pursuing the idiosyncrasy and qualify enhancement. Nuno-felt is the felting technique that places the wool of desired thickness on the thin fabric using wools and various kinds of fabric materials and rubs them. The samples are 3 kinds of silk including plain Chiffon with different touch, Pongee and Organza and Merino Wool, the best quality wool of wools. As a result, beyond the simple surface effect from the silk showing the superior drape feature with one color and soft wool, the Nuno-felt technique created the feminine as well as masculine, classic and modem image. Furthermore, the harmony of opacity and transparency produced the new dynamic and dimensional texture with the combination of different emotions through the visual emotion of different grey colors and rough, crude and soft touch. This study suggested the possibility that the Nuno-felt technique could create the new emotional materials for the modem sense by combining the materials with different features from the wools unlike the traditional simple felt technique.

• Journal of Digital Policy
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• v.3 no.1
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• pp.27-32
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• 2024

In this paper, proposes a super resolution method that enhances the quality of results by refining texture features, contrasting each, and utilizing the results as weights. For the improvement of quality, a precise and clear restoration result in details such as boundary areas is crucial in super resolution, along with minimizing unnecessary artifacts like noise. The proposed method constructs a residual block structure with multiple paths and skip-connections for feature estimation in conventional Convolutional Neural Network (CNN)-based super resolution methods to enhance quality. Additional learning is performed for sharpened and blurred image results for further texture analysis. By contrasting each super resolution result and allocating weights through this process, the proposed method achieves improved quality in detailed and smoothed areas of the image. The experimental results of the proposed method, evaluated using the PSNR and SSIM values as quality metrics, show higher results compared to existing algorithms, confirming the enhancement in quality.

• Korean Journal of Materials Research
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• v.21 no.5
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• pp.263-267
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• 2011

The present study was carried out to evaluate the microstructural and mechanical properties of cross-roll rolled pure copper sheets, and the results were compared with those obtained for conventionally rolled sheets. For this work, pure copper (99.99 mass%) sheets with thickness of 5 mm were prepared as the starting material. The sheets were cold rolled to 90% thickness reduction and subsequently annealed at $400^{\circ}C$ for 30 min. Also, to analyze the grain boundary character distributions (GBCDs) on the materials, the electron back-scattered diffraction (EBSD) technique was introduced. The resulting cold-rolled and annealed sheets had considerably finer grains than the initial sheets with an average size of 100 ${\mu}M$. In particular, the average grain size became smaller by cross-roll rolling (6.5 ${\mu}M$) than by conventional rolling (9.8 ${\mu}M$). These grain refinements directly led to enhanced mechanical properties such as Vickers micro-hardness and tensile strength, and thus the values showed greater increases upon cross-roll rolling process than after conventional rolling. Furthermore, the texture development of <112>//ND in the cross-roll rolling processed material provided greater enhancement of mechanical properties relative to the case of the conventional rolling processed material. In the present study, we systematically discuss the enhancement of mechanical properties in terms of grain refinement and texture distribution developed by the different rolling processes.

• Journal of the Korean Vacuum Society
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• v.21 no.1
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• pp.55-61
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• 2012

We fabricated a-Si:H thin-film solar cell using the two-dimensional (2D) periodic patterned glass substrate. The use of a 3D periodic texture rather than a randomly texture at surface of TCO can result in higher short circuit current densities ($J_{sc}$). In order to analyze the optical effect of patterning glasses, ray-tracing simulations were performed. Also, p-i-n cells were deposited on patterned glasses as substrate by PECVD. UV-Vis spectroscopy, light I-V measurement were carried out for the optoelectronic characterization. The anti-reflective and light-trapping performance of patterning glass substrate was investigated by a comparison of experimental results with numerical simulations.