• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.6
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• pp.112-122
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• 2009

In this paper, we present a novel space-frequency adaptive image restoration approach using vaguelette-wavelet decomposition (VWD). The proposed algorithm classifies a degraded image into flat and edge regions by using spatial information of the wavelet coefficient. For reducing the noise we perform an adaptive wavelet shrinkage process. At edge region candidates, we adopt entropy approach for estimating the noise and remove it by using relative between sub-bands. After shrinking wavelet coefficients process, we restore the degraded image using the VWD. The proposed algorithm can reduce the noise without affecting the sharpness details. Based on the experimental results, the proposed algorithm efficiently proved to be able to restore the degraded image while preserving details.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.2 s.314
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• pp.19-26
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• 2007

In the sigma filter, there is a specialized neighbours distribution scheme in which the sigma value is computed from local statistics. It is designed to modify a standard average filter to preserve edges. However this filter is vulnerable to details-enhancement and conventional sigma approaches have been focused on denoising, not enhancing the characteristic area. This paper proposes an adaptive image enhancement algorithm using local statistics and functional synthesis which are utilized for adaptive realization of the enhancement, so that not only image noise may be smoothed but also details may be enhanced. For the local adaptation, parameters are estimated and weighted at each moving window that satisfy the criteria. The experimental results illuminates the effectiveness of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.412-434
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• 2023

This study discusses the high-order diffusion method in the wavelet domain. It aims to improve the edge protection capability of the high-order diffusion method using wavelet coefficients that can reflect image information. During the first step of the proposed diffusion method, the wavelet packet decomposition is a more refined decomposition method that can extract the texture and structure information of the image at different resolution levels. The high-frequency wavelet coefficients are then used to construct the edge detection function. Subsequently, because accurate wavelet coefficients can more accurately reflect the edges and details of the image information, by introducing the idea of state weight, a scheme for recovering wavelet coefficients is proposed. Finally, the edge detection function is constructed by the module of the wavelet coefficients to guide high-order diffusion, the denoised image is obtained. The experimental results showed that the method presented in this study improves the denoising ability of the high-order diffusion model, and the edge protection index (SSIM) outperforms the main methods, including the block matching and 3D collaborative filtering (BM3D) and the deep learning-based image processing methods. For images with rich textural details, the present method improves the clarity of the obtained images and the completeness of the edges, demonstrating its advantages in denoising and edge protection.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2785-2788
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• 2001

In this paper, we present a new interpolation scheme for image enhancement using fuzzy inference. In general, interpolation techniques are based on linear operators which are essentially lowpass filters, hence, they tend to blur fine details in the original image. In our approach, the operator itself balances the strength of its sharpening and noise suppressing components according to the properties of the input image data.

• Journal of the Korean Home Economics Association
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• v.44 no.9
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• pp.41-50
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• 2006

This study examines the characteristics of the military look in modern fashion. The materials for the study are mainly precedent studies and related literature, although fashion portfolios and magazines, domestic and international, are used for the exploratory study. The results of the study are as follows. First, the military look for women dismantles the sexual symbolism endowed with the clothes by expressing a neutral charm out of dichotomy image between genders. The neutral expression of the military look, different from the military look of the 20th century, provides a chance to feature a new image by pursuing more individual freedom than human itself. Second, the military-look emphasizes feminine sensual charm through exposing, concealing, or decorating with ornaments which are transformed from the elements of the military clothes, This is different from the past military look that expressed masculine rigidity through simplifying the details and emphasizing the male body silhouette. Third, the military look produces a deconstruction image instead of just showing its intrinsic thoughts or symbolic message through combining design elements or symbolic details of the military look with other images, transforming and exaggerating the shapes, or mixing the time point of views reinterpreting the present or the future image.

• The Korean Fashion and Textile Research Journal
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• v.14 no.4
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• pp.532-543
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• 2012

This research is aimed at analyzing the image and preference of the school uniform of a girls' high school located in Ulsan. The analysis of 396 data were measured by the frequency, the t-test through SPSS 12.0. The results show that first, in the image, they associated a cold color, short v zone, necktie with mannish image, a coordination between boxy jacket and flared skirt or silhouette mixture of mannish image and feminie image with unfashionable. Second, sensibility images that they prefers differed significantly in mature, soft, and practical images between different academic spheres, and in terms of refined image between different grades. Third, in preference of school uniform wearing, photo 9 showed the significance by groups and photo 6 showed it by grade. As a result of uniform design preference analysis, significant differences were by academic shown on photo 2 in total harmony and color combination, on photo 3 in details, on photo 7 in lower garment design, on photo 8 in upper garment design, on photo 9 in total harmony, upper garment design, lower garment design, color combination and details. Meanwhile, photo 1 showed the significance by grade in color combination, photo 4 in total harmony and upper garment design, photo 7 in upper garment design, respectively. Through this study, we could assume schoolgirls' attitude toward school uniform currently worn by them and it is considered to be used for resolving diverse problems which have been raised when school uniform design is being planned to satisfy students' desires.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.1
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• pp.103-109
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• 1995

In this paper, we propose a postprocessing method that neatly removes blocking effect but retains visually important image details and edges. The iterative thresholded lowpass filter is basically a low pass filter whose ouput depends on three variable elements. I.e. iteration number, threshold value and passband width. The threshold value restricts the difference between the output of the proposed filter and the original input independent of the iteration number. With this property, the iterative thresholded lowpass filter can retain most of the image details while smoothing the block boundaries. The other two variable elements, i.e. iteration number and passband width, can determine the convergence speed of the proposed filter. In this paper, we also propose several adaptive filtering techniques based on the iterative thresholded lowpass filter with their simulation results.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.309-310
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• 2006

This paper presents an enhanced algorithm for compensating the visual quality in backlight image. Current cameras do not represent all details of scene into human's eye. Saturation and underexposure are common problems in backlight image. Retinex algorithm, derived from Land's theory on human visual perception is known to be effective in enhancing the contrast. However, its weaknesses are long processing time and low contrast of bright area in backlight scene because of compensating the details of dark area. In this paper, K-Retinex algorithm is proposed to reduce the processing time and enhance the contrast in both dark and bright area. To show the superiority of proposed algorithm, we compare the processing time and local variance of each area above.

• Journal of Multimedia Information System
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• v.4 no.2
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• pp.89-92
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• 2017

This paper investigates simple gray level image enhancement technique based on Genetic Algorithms and Local Statistics. The task of GA is to adapt the parameters of local sliding masks over pixels, finding out the best parameters preserving the brightness and possibly preventing the creation of intensity artifacts in the local area of images. The algorithm is controlled by GA as to enhance the contrast and details in the images automatically according to an object fitness criterion. Results obtained in terms of subjective and objective evaluations, show the plausibility of the method suggested here.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.6
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• pp.185-192
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• 2022

Multimodal medical image fusion (MMIF) fuses two images containing different structural details generated in two different modes into a comprehensive image with saturated information, which can help doctors improve the accuracy of observation and treatment of patients' diseases. Therefore, a method based on double-layer decomposer and fine structure preservation model is proposed. Firstly, a double-layer decomposer is applied to decompose the source images into the energy layers and structure layers, which can preserve details well. Secondly, The structure layer is processed by combining the structure tensor operator (STO) and max-abs. As for the energy layers, a fine structure preservation model is proposed to guide the fusion, further improving the image quality. Finally, the fused image can be achieved by performing an addition operation between the two sub-fused images formed through the fusion rules. Experiments manifest that our method has excellent performance compared with several typical fusion methods.