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일반계 고등학생의 진학 결정수준과 진학준비 행동수준에 따른 진학준비 유형에 관한 연구
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Synthesis^ characterization and optical property of poly (propylene carbonate) - Zinc oxide nanocomposites
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The Effects of Fermented Equisetum arvense on Moisturizing Capabilities in HaCaT Keratinocytes
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Using Nursing Standards to Evaluate Competency: A competency evaluation program links the patient^ the process and the performer
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Anti-C1q antibodies in systemic lupus erythematosus and correlation to complement^ anti-dsDNA and anticardiolipin antibodies
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2013년 세계경제전망
- 검색키워드
- 저자 : Suresh Raj Pant (검색결과 4 건)
- 무료
- 기관 내 무료
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An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement
Joonwhoan Lee,Suresh Raj Pant,Hee-Sin Lee 한국지능시스템학회 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.1
The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.
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Enhancement of Color Images with Blue Sky Using Different Method for Sky and Non-Sky Regions
( Deepak Ghimire ),( Suresh Raj Pant ),( Joonwhoan Lee ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1
In this paper, we proposed a method for enhancement of color images with sky regions. The input image is converted into HSV space and then sky and non-sky regions are separated. For sky region, saturation enhancement is performed for each pixel based on the enhancement factor calculated from the average saturation of its local neighborhood. On the other hand, for the non-sky region, the enhancement is applied only on the luminance value (V) component of the HSV color image, which is performed in two steps. The luminance enhancement, which is also called as dynamic range compression, is carried out using nonlinear transfer function. Again, each pixel is further enhanced for the adjustment of the image contrast depending upon the center pixel and its neighborhood pixel values. At last, the original H and V component image and enhanced S component image for the sky region, and original H and S component image and enhanced V component image for the non-sky region are converted back to RGB image.
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An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement
Lee, Joonwhoan,Pant, Suresh Raj,Lee, Hee-Sin Korean Institute of Intelligent Systems 2015 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.15 No.1
The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.
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방사선 의료영상 잡음제거를 위한 퍼지논리 활용 다해상도 기반 유도필터
고승현(Seung-Hyun Ko),수레쉬 라에 판트(Suresh Raj Pant),이준환(Joonwhoan Lee) 한국지능시스템학회 2014 한국지능시스템학회논문지 Vol.24 No.4
방사선 의료영상의 잡음은 화질을 떨어트리며, 진단의 정확성을 낮추는 원인이 된다. 특별히 환자보호를 목적으로 방사선 피폭량을 줄인 저선량 의료영상은 잡음 수준이 높아 잡음 제거 기술이 더욱 중요하다. 본 논문에서는 다양한 해상도에서 경계선 특징을 보존하며 잡음을 효과적으로 제거하는 잡음제거 방법을 제안한다. 제안된 방법에서는 영상을 여러 개의 해상도의 피라미드 영상으로 분해하고, 각각의 분해된 영상으로부터 퍼지 규칙기반 경계선 검출기를 통하여 안정된 경계 신뢰도 맵을 얻는다. 이들 다해상도 영상의 경계 신뢰도 맵은 유도 필터의 파라메터를 적응적으로 결정하며, 이를 이용하여 해당 영상의 경계를 보전하며 잡음을 제거한다. 이렇게 잡음이 제거된 다해상도 영상은 보간법을 통하여 확장되고 합성되어 결과영상을 얻는다. 제안된 방법은 미디언 필터, 양방향 필터, 유도 필터 등과 비교하여 경계선을 잘 보존하며, 잡음제거 능력이 우수함을 실험을 통해 확인하였다. Noise in biomedical X-ray image degrades the quality so that it might causes to decrease the accuracy of diagnosis. Especially the noise reduction techniques is quite essential for low-dose biomedical X-ray images obtained from low radiation power in order to protect patients, because their noise level is usually high to well discriminate objects. This paper proposes an efficient method to remove the noise in low-dose X-ray images while preserving the edges with diverse resolutions. In the proposed method, a noisy image is at first decomposed into several images with different resolutions in pyramidal representation, then the stable map of edge confidence is obtained from each of analyzed image using a fuzzy logic-based edge detector. This map is used to adaptively determine the parameter for guided filters, which eliminate the noise while preserving edges in the corresponding image. The filtered images in the pyramid are extended and synthesized into a resulted image using interpolation technique. The superiority of proposed method compared to the median, bilateral, and guided filters has been experimentally shown in terms of noise removal and edge preserving properties.
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