• Title/Summary/Keyword: 영상 보간

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An Adaptive Cubic Convolution with Optimized Parameter (최적화된 매개변수를 적용한 적응적 3차 회선 보간 기법)

  • Park, Dae-Hyun;Yoo, Jae-Wook;Kim, Man-Bae;Jung, In-Bum;Kim, Yoon
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06b
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    • pp.203-207
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    • 2007
  • 본 논문에서는 낮은 해상도의 영상을 높은 해상도의 영상으로 변환하는 과정에서 최적화된 매개변수를 적용하는 적응적 3차 회선 보간 기법을 제안한다. 제안된 알고리즘은 먼저 주어진 영상 신호에 3차 회선 보간 기법을 수행하여 높은 해상도로 변환시킨다. 변환된 영상 신호는 다시 3차 회선 보간 기법으로 변환 과정을 통해 처음 주어진 원 영상 신호와 같은 해상도로 변환시킨다. 여기서 변환된 영상 신호와 원 영상 신호의 차이를 최소로 만드는 매개변수는 적응적으로 최적화된다. 적응적으로 최적화된 매개변수는 보간 커널을 최적화하여 3차 회선 보간 기법의 성능을 향상시킨다. 본 논문에서 제안한 알고리즘을 알려진 여러 영상으로 기존에 존재하던 보간 기법들과 비교하는 실험을 하고, 도출된 실험 결과를 객관적인 지표로 제시하여 우수함을 입증한다.

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An effective quality improvement scheme of magnified image using the surface characteristics in image (영상의 곡면 특성을 활용한 효과적인 확대영상의 화질 향상 기법)

  • Jung, Soo-Mok;On, Byung-Won
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.8
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    • pp.45-54
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    • 2014
  • In this paper, we proposed an effective quality improvement scheme of magnified image using the surface characteristics in image. If the surface in image is estimated as simple convex surface or simple concave surface, the interpolated value can be calculated to have the surface characteristics by using the other method in the proposed scheme. The calculated value becomes the interpolated pixel value inmagnified image. So, themagnified image reflects the surface characteristics of the real image. If the surface is not estimated as simple convex surface or simple concave surface, the interpolated value is calculated more accurately than bilinear interpolation by using the method of the proposed scheme. The PSNR values of the magnified images using the proposed schemes are greater than those of the magnified images using the previous interpolation schemes.

3D Visualization of Brain MR Images by Applying Image Interpolation Using Proportional Relationship of MBRs (MBR의 비례 관계를 이용한 영상 보간이 적용된 뇌 MR 영상의 3차원 가시화)

  • Song, Mi-Young;Cho, Hyung-Je
    • The KIPS Transactions:PartB
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    • v.10B no.3
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    • pp.339-346
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    • 2003
  • In this paper, we propose a new method in which interpolation images are created by using a small number of axiai T2-weighted images instead of using many sectional images for 3D visualization of brain MR images. For image Interpolation, an important part of this process, we first segment a region of interest (ROI) that we wish to apply 3D reconstruction and extract the boundaries of segmented ROIs and MBR information. After the image size of interpolation layer is determined according to the changing rate of MBR size between top slice and bottom slice of segmented ROI, we find the corresponding pixels in segmented ROI images. Then we calculate a pixel's intensity of interpolation image by assigning to each pixel intensity weights detected by cube interpolation method. Finally, 3D reconstruction is accomplished by exploiting feature points and 3D voxels in the created interpolation images.

A Study on Performance Analysis of Image Interpolation Filters for Field-based Warping and Morphing (필드 기반 워핑과 모핑을 위한 영상 보간 필터의 성능 분석에 관한 연구)

  • Lee Hyoung-Jin;Kwak No-Yoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.6
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    • pp.504-510
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    • 2004
  • The objective of this paper is to propose the image interpolation method with pseudomedian filter for Field warping and morphing, and to evaluate and analyze its subjective image quality. The Field warping relatively gives rise to more computing overhead, but it can use the control line to control the warping result with more elaboration. Due to the working characteristics of the image warping and morphing process, various complex geometrical transformations occur and a image interpolation technique is needed to effectively process them. Of the various interpolation techniques, bilinear interpolation which shows above average performance is the most widely used. However, this technology has its limits in the reconstructivity of diagonal edges. The proposed interpolation method is to efficiently combine the bilinear interpolation and the pseudomedian filter-based interpolation which shows good performance in the reconstructivity of diagonal edges. According to the proposed interpolation method, we could get more natural warping and morphing results than other interpolation methods.

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VLSI Architecture of Digital Image Scaler Combining Linear Interpolation and Cubic Convolution Interpolation (선형 보간법과 3차회선 보간법을 결합한 디지털 영상 스케일러의 VLSI 구조)

  • Moon, Hae Min;Pan, Sung Bum
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.3
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    • pp.112-118
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    • 2014
  • As higher quality of image is required for digital image scaling, longer processing time is required. Therefore the technology that can make higher quality image quickly is needed. We propose the double linear-cubic convolution interpolation which creates the high quality image with low complexity and hardware resources. The proposed interpolation methods which are made up of four one-dimensional linear interpolations and one one-dimensional cubic convolution perform linear-cubic convolution interpolation in horizontal and vertical direction. When compared in aspects of peak signal-to-noise ratio(PSNR), performance time and amount of hardware resources, the proposed interpolation provided better PSNR, low complexity and less hardware resources than bicubic convolution interpolation.

Constructing Interpolation Image for Overlapping between Visible and Infrared Images (적외선 가시광선 영상의 중첩을 위한 보간 영상 생성)

  • 김대원;김모곤;남동환;정순기
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.437-439
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    • 1999
  • 적외선 열 화상에는 물체 내부의 결함과 그 물체 표면의 이물질 등의 효과가 모두 포함된 상태이므로 적외선 열 화상 자체만으로는 비정상적인 부분들을 찾아내기 어렵다. 따라서 본 논문에서는 평행 이동 관계에 있는 두 가시광선 영상으로부터 열 화상에 대응하는 보간 영상을 생성하고, 이것을 열 화상과 중첩시킴으로써 가시화하는 방법을 연구한다. 이를 위해서 적외선 센서에 의해 감지된 온도를 매핑한 열 화상을 적외선 카메라로부터 얻고, 적외선 카메라의 양쪽에 부착된 CCD 카메라로부터 좌우의 가시광선 영상을 얻는다. 보간 영상 생성을 위해서 블록 매칭을 이용한 모션 정보를 사용하고, 생성된 보간 영상에서 생기는 구멍(hole)을 메우는 방법을 소개한다. 또한 생성된 보간 영상과 열 화상을 중첩시켜 가시화하는 방법을 기술한다. 이렇게 함으로써 본 논문에서 제안한 가시화 기법은 재해방지를 위한 비파괴 검사 등에 이용될 수 있다.

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Resolution Enhancement of Surveillance Camera Image Using Error Estimation (에러 추정을 이용한 감시 카메라 영상의 해상도 향상)

  • Kim, Won-Hee;Park, Sung-Mo;Kim, Jong-Nam
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.169-170
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    • 2009
  • 영상 해상도 향상 기술은 영상 처리의 많은 분야에서 사용되는 전처리 기술로서, 최근들어 감시 카메라 시스템에서의 영상 해상도 향상을 위한 연구가 진행되고 있다. 보간 과정에서의 블러링으로 인한 화질 저하를 해결하기 위해서, 본 논문에서는 하위 레벨 보간을 이용한 에러 추정과 영상 해상도 향상방법을 제안한다. 제안하는 방법에서는 하위 레벨 보간을 통해서 보간 과정에서 발생하는 손실 정보를 추정하고, 추정한 손실 정보를 보간 결과에 적용하여 영상 복원의 결과를 향상시킨다. 동일한 영상을 이용한 실험을 통해서 기존의 방법들보다 0.38~1.75dB의 객관적 화질의 개선을 확인하였고 주관적 화질 비교에서도 향상되었음을 확인하였다. 제안하는 방법은 감시 카메라 시스템을 비롯한 영상 확대를 위한 응용 환경에서 활용될 수 있다.

Image Search Using Interpolated Color Histograms (히스토그램 보간에 의한 영상 검색)

  • Lee, Hyo-Jong
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.701-706
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    • 2002
  • A set of color features has been efficiently used to measure the similarity of given images. However, the size of the color features is too large to implement an indexing scheme effectively. In this paper a new method is proposed to retrieve similar images using an interpolated color histogram. The idea is similar to the already reported methods that use the distributions of color histograms. The new method is different in that simplified color histograms decide the similarity between a query image and target images. In order to represent the distribution of the color histograms, the best order of interpolated polynomial has been simulated. After a histogram distribution is represented in a polynomial form, only a few number of polynomial coefficients are indexed and stored in a database as a color descriptor. The new method has been applied to real images and achieved satisfactory results.

Wavelet Transform Based Low Pass Filters and Interpolation Filters in Digital Image Communication Systems (디지털 영상 통신 시스템에서 웨이블릿 변환 기반 저역 필터와 보간 필터)

  • Yoo Hoon
    • Journal of Korea Multimedia Society
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    • v.9 no.4
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    • pp.443-450
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    • 2006
  • In digital image communication systems, YUV 4:2:0 or YUV 4:2:2 images filtered and subsampled versions of YUV 4:4:4 images are utilized and these images recover their size by an interpolation filter. Low pass filters and interpolation filters in the image communication systems are generally utilized. Thus, to improve the image quality, efficient low pass filters and interpolation filters are still required. In this paper, we propose new and efficient low pass filters and interpolation filters and their design method. The low pass filters and interpolation filters used in the MPEG-2 system were developed independently. We utilize wavelet transforms to jointly design low pass filters and interpolation filters. Simulation results show that the proposed filters are superior to the filters used in MPEG-2 in terms of PSNR. In addition, the length of the proposed interpolation filters is shorter than that of the filters used in the MPEG 2 system.

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Segmentation and Visualization of Head MR Image Based on Structural Approach (구조적인 기법을 이용한 머리 MR 단층 영상의 조직 분류 및 가시화)

  • 권오봉;김민기
    • Journal of Biomedical Engineering Research
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    • v.20 no.3
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    • pp.283-290
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    • 1999
  • Because MR(Magnetic Resonance) slice images have much information of functions about body organs, it is very effeclive for diagnoses lo analyze and visualize MR slice images. A visuahzation process is composed of medical image acquisition, preprocessmg, segmentation, inlerpolation, rendering. Segmentation and interpolation among thenl ,1re currenl hot topics because of MR slice image imperfections. This paper proposes a method for segmentalion, mlerpolation respectively and addresses 3 D-visualizmg of a head. We segmented head tissues uomg otructural knowledge of head studied by clinical experiments sequentially. We improved the dynamic elastic inlerpolation to Utilize in concave conlour. We compared the proposed segmentation method and the interpolation method with other methods.

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