• 제목/요약/키워드: Korean-like image

검색결과 1,247건 처리시간 0.022초

Scene-based Nonuniformity Correction by Deep Neural Network with Image Roughness-like and Spatial Noise Cost Functions

  • Hong, Yong-hee;Song, Nam-Hun;Kim, Dae-Hyeon;Jun, Chan-Won;Jhee, Ho-Jin
    • 한국컴퓨터정보학회논문지
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    • 제24권6호
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    • pp.11-19
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    • 2019
  • In this paper, a new Scene-based Nonuniformity Correction (SBNUC) method is proposed by applying Image Roughness-like and Spatial Noise cost functions on deep neural network structure. The classic approaches for nonuniformity correction require generally plenty of sequential image data sets to acquire accurate image correction offset coefficients. The proposed method, however, is able to estimate offset from only a couple of images powered by the characteristic of deep neural network scheme. The real world SWIR image set is applied to verify the performance of proposed method and the result shows that image quality improvement of PSNR 70.3dB (maximum) is achieved. This is about 8.0dB more than the improved IRLMS algorithm which preliminarily requires precise image registration process on consecutive image frames.

이중 게이트를 사용한 새로운 유사 목표물 추출 기법 (A New Algorithm for the Extraction of Target-Like Objects Using a Double Gate)

  • 한기준;김영균
    • 대한전자공학회논문지
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    • 제19권4호
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    • pp.21-25
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    • 1982
  • 본 논문에서는 thresholding기법을 사용하여 주어진 영상을 이진영상(two-valued image)으로 만든 다음 이 이진 영상에 이중 게이트(double gate)를 적용하여 유사 목표물(targer-like objects)을 추출하는 새로운 기법을 제시하였다. 합성된 영상 데이타에 대해 새로운 기법이 잘 적용, 수행됨을 보였다.

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FIXED-POINT-LIKE METHOD FOR A NEW TOTAL VARIATION-BASED IMAGE RESTORATION MODEL

  • WON, YU JIN;YUN, JAE HEON
    • Journal of applied mathematics & informatics
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    • 제38권5_6호
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    • pp.519-532
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    • 2020
  • In this paper, we first propose a new total variation-based regularization model for image restoration. We next propose a fixed-point-like method for solving the new image restoration model, and then we provide convergence analysis for the fixed-point-like method. To evaluate the feasibility and efficiency of the fixed-point-like method for the new proposed total variation-based regularization model, we provide numerical experiments for several test problems.

The horizontal line detection method using Haar-like features and linear regression in infrared images

  • Park, Byoung Sun;Kim, Jae Hyup
    • 한국컴퓨터정보학회논문지
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    • 제20권12호
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    • pp.29-36
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    • 2015
  • In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods.

문인화를 이용한 한국적 이미지의 문화상품용 의상디자인 개발 (Clothing Design of Korean Image for Cultural Prooducts -using the literary artist´s works-)

  • 오현정;오선희;이귀례
    • 복식
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    • 제53권5호
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    • pp.13-22
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    • 2003
  • The purposes of this study are to develop a Korean image clothing design for cultural products by using the literary artist´s works and to satisfy the demand of the local self-government and of Gwangju ㆍChonnam area´s small and medium-sized companies. The image of traditional Korean clothing can be expressed with adjectives like Pure, plain, rhythmical, neatness, plentiful, and calm etc. These attributes are similar to the characteristics of the literary artist´s style, which is expressed as suggestive, animated, spatial, possibility of stationary, serene and still. The features of the traditional Korean clothing design can be described as ´The Beauty of Elegance´, ´The Beauty of Plainness´, ´The Beauty of Asymmetric Balance´ and ´The Beauty of rhythm´. It can be expressed in the modern fashion design, which is developed through the combination of the most important feature like ´The Beauty of Space´ in the literary artist´s style. At the time of production we tried to express spatial beauty and plentiful taste of the literary artist's style in the clothing design of Korean image for cultural products by considering the balance between them. Six works of the literary artist were selected which satisfied the purpose of the developed clothing design item. The results were nine clothing designs of Korean image, like a skirt suit made up of a blouse and a skirt, a pants suit made up of pants and a jacket, two evening dresses with a shawl, and also T-shirts and one-pieces etc.

Quality Inspection of Dented Capsule using Curve Fitting-based Image Segmentation

  • Kwon, Ki-Hyeon;Lee, Hyung-Bong
    • 한국컴퓨터정보학회논문지
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    • 제21권12호
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    • pp.125-130
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    • 2016
  • Automatic quality inspection by computer vision can be applied and give a solution to the pharmaceutical industry field. Pharmaceutical capsule can be easily affected by flaws like dents, cracks, holes, etc. In order to solve the quality inspection problem, it is required computationally efficient image processing technique like thresholding, boundary edge detection and segmentation and some automated systems are available but they are very expensive to use. In this paper, we have developed a dented capsule image processing technique using edge-based image segmentation, TLS(Total Least Squares) curve fitting technique and adopted low cost camera module for capsule image capturing. We have tested and evaluated the accuracy, training and testing time of the classification recognition algorithms like PCA(Principal Component Analysis), ICA(Independent Component Analysis) and SVM(Support Vector Machine) to show the performance. With the result, PCA, ICA has low accuracy, but SVM has good accuracy to use for classifying the dented capsule.

주택문화관의 휴식공간에서 나타난 브랜드이미지에 관한 연구 (A Study of Brand Image from The Resting Place of Housing Cultural Center)

  • 이현지;한혜련
    • 한국실내디자인학회:학술대회논문집
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    • 한국실내디자인학회 2008년도 춘계학술발표대회 논문집
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    • pp.123-127
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    • 2008
  • This study is to analyze brand image of housing cultural center to understand how it is shown in the resting place of housing cultural center. We chose the object housing cultural center and made checklist to understand space condition and brand image reflection. housing cultural center should be reborn as a cultural rest space for customers and residents, and especially new definition of function and concept of resting place is necessary. The resting place of housing cultural center is not just offering an extra room for customers but a link-space and an intermediation-space to link the functions of each space where customers stay for long time. So there should be proper design that expresses the brand image for resting place. From the research, we found that the resting place has cafe like design with tables and chairs. Some of them are gallery-cafe like or book-cafe like to emphasize the cultural aspects. But they are not proper to express brand image. So there should be detailed guidelines of design for resting place of housing cultural center to express brand image.

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Wavelet 변환 방식을 이용한 인쇄물 평가에 관한 연구 (A study on print estimation using wavelet transformation method)

  • 김택준;조가람;구철희
    • 한국인쇄학회지
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    • 제20권1호
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    • pp.28-44
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    • 2002
  • Wavelet transformation in image compression is to offer higher image compressibility and high-quality by quantization and entropy encoding. More image quality is good that reconstructed image by wavelet calculation than acquire cosine transform. Therefore, wavelet itself is function if it is wavelet's feature, in this function, do processing applying difference scale and resolution. That is, this is not that fixed resolution has been decided like existent compression way, when it regulated scale, damage goes in pixel and picture looks like break without giving damage entirely in reflex even if magnify or curtail Decoding. Therefore, this paper is in Image that using new wavelet application compression way research that see applies comparing In each image noted this time compressing step by step with circle image compression efficiency recognize. Also, estimated quality pass through by printing of compressed image, investigated compression ratio of most suitable that get print of high quality and elevation of transmission speed.

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Detection for Operation Chain: Histogram Equalization and Dither-like Operation

  • Chen, Zhipeng;Zhao, Yao;Ni, Rongrong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권9호
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    • pp.3751-3770
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    • 2015
  • Many sorts of image processing software facilitate image editing and also generate a great number of doctored images. Forensic technology emerges to detect the unintentional or malicious image operations. Most of forensic methods focus on the detection of single operations. However, a series of operations may be used to sequentially manipulate an image, which makes the operation detection problem complex. Forensic investigators always want to know as much exhaustive information about a suspicious image's entire processing history as possible. The detection of the operation chain, consisting of a series of operations, is a significant and challenging problem in the research field of forensics. In this paper, based on the histogram distribution uniformity of a manipulated image, we propose an operation chain detection scheme to identify histogram equalization (HE) followed by the dither-like operation (DLO). Two histogram features and a local spatial feature are utilized to further determine which DLO may have been applied. Both theoretical analysis and experimental results verify the effectiveness of our proposed scheme for both global and local scenarios.

경면 거칠기 측정을 위해 레이저 입사 강도 조정에 의한 정반사 광량 추정 알고리즘 개발 (Estimation of Specular Light Power by Adjusting Incident Laser Power for Measuring Mirror-Like Surface Roughness)

  • 서영호;김주년;안중환
    • 한국정밀공학회지
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    • 제21권6호
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    • pp.94-101
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    • 2004
  • From the Beckmann's reflection model of wave incident, reflected light from a surface is known to have not only specular but also diffuse components. The specular component dominant a surface for a mirror-like surface is distributed on the almost the same area as the spot on the surface, but the diffuse component region dominant f3r a rough surface spreads scattered on the larger areas than the spot. Therefore, statistic parameters from the scattered light distribution are more meaningful in the diffuse region, while the magnitude of rather meaning in the specular region. In usual, there need two sensors to acquire two kinds of information: Photo-detector for light intensity magnitude and image sensor for light intensity distribution. But dual sensor scheme requires a beam splitter usually to feed light to each sensor, and moreover there is not a combination rule to relieve the different sensor characteristics. In this study a new method is proposed for acquisition of the dual information using only an image sensor. Specular region is established on an image area being distinguished from a diffuse component, and laser power is adjusted so that no pixel of the image sensor in the specular region is saturated. Simulation based on the light reflection theory and the experimental results are quite well matched, and thus the proposed method was proved to be very useful for mirror-like surface measurement.