• 제목/요약/키워드: pixel value

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양방향 가중치를 이용한 x선 영상 잡음 제거 알고리즘 (X-ray Image Denoising Agorithm Using Bilateral Weight)

  • 신수연;서재원
    • 한국정보통신학회논문지
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    • 제21권1호
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    • pp.137-143
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    • 2017
  • x선 영상은 각종 의료 검진 분야와 보안검사에 널리 이용되고 있다. 하지만 대부분의 x선 영상은 잡음을 포함하고 있으며 이러한 잡음은 x선 영상분석에 방해가 되기 때문에 x선 영상의 잡음을 제거할 필요가 있다. 본 논문은 화소값 가중치와 화소 거리 가중치를 이용하여 x선 영상의 잡음을 제거하는 방법을 제안한다. 제안하는 알고리즘은 먼저 양방향 필터를 이용하여 x선 영상의 노이즈를 1차적으로 제거하고 원본 x선 영상의 경계 영역을 추정한다. 그 후 현재 화소가 경계 영역에 속한다면 해당화소를 포함하는 $3{\times}3$ 영역의 화소들에 대한 원본화소와 노이즈제거 화소를 이용하여 가중치를 구하고 경계 화소값 결정을 위한 비용계산을 수행한다. 그 후 가장 작은 경계 화소값 결정 비용을 가지는 화소 값을 결과영상의 화소값으로 정한다. 제안하는 알고리즘은 PSNR 및 주관적 화질 비교에서 우수한 성능을 보였다.

가중치를 이용한 센서스 변환과 가이드 필터링 기반깊이지도 생성 방법 (Weighted Census Transform and Guide Filtering based Depth Map Generation Method)

  • 문지훈;호요성
    • 전자공학회논문지
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    • 제54권2호
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    • pp.92-98
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    • 2017
  • 일반적으로 영상은 기하학적 왜곡과 방사성 왜곡을 포함하고 있다. 센서스 변환은 방사 왜곡으로 인해 발생하는 스테레오 부정합 문제를 해결할 수 있다. 일반적인 센서스 변환은 윈도우 중심 화소 값과 이웃한 화소의 값을 비교하기 때문에 화소 값의 차이가 크지 않은 경우 정확한 정합 결과를 얻기 어렵다. 이를 해결하기 위해 윈도우 내 보조 윈도우를 적용하여 화소 값 차이별로 서로 다른 4단계 가중치를 적용하는 센서스 변환 방법을 제안한다. 현재 화소 값이 보조 윈도우의 화소평균 값 보다 큰 경우 높은 가중치를 부여하고, 그렇지 않은 경우 낮은 가중치를 부여함으로서 차등적인 센서스 변환을 수행한다. 가중치를 이용한 센서스 변환 영상과 입력 영상을 이용하여 초기 변위지도를 생성한 뒤, 기울기 정보를 추가적으로 사용하여 최종 변위 지도 생성을 위한 비용 함수를 모델링한다. 최적의 비용 값을 찾기 위해 가이드 필터링을 사용하는데, 이는 입력 영상과 변위 영상을 사용하여 필터링을 수행하기 때문에 객체의 경계영이 보존될 수 있다. 실험 결과로부터 제안한 방법을 이용한 스테레오 정합 결과 성능이 기존의 방법에 비해 개선된 것을 확인하였다.

화소 삽입을 이용한 적응적 영상보간 (Adaptive Image Interpolation Using Pixel Embedding)

  • 한규필;오길호
    • 한국멀티미디어학회논문지
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    • 제17권12호
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    • pp.1393-1401
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    • 2014
  • This paper presents an adaptive image interpolation method using a pixel-based neighbor embedding which is modified from the patch-based neighbor embedding of contemporary super resolution algorithms. Conventional interpolation methods for high resolution detect at least 16-directional edges in order to remove zig-zaging effects and selectively choose the interpolation strategy according to the direction and value of edge. Thus, they require much computation and high complexity. In order to develop a simple interpolation method preserving edge's directional shape, the proposed algorithm adopts the simplest Haar wavelet and suggests a new pixel-based embedding scheme. First, the low-quality image but high resolution, magnified into 1 octave above, is acquired using an adaptive 8-directional interpolation based on the high frequency coefficients of the wavelet transform. Thereafter, the pixel embedding process updates a high resolution pixel of the magnified image with the weighted sum of the best matched pixel value, which is searched at its low resolution image. As the results, the proposed scheme is simple and removes zig-zaging effects without any additional process.

Data Hiding Technique using the Characteristics of Neighboring Pixels and Encryption Techniques

  • Jung, Soo-Mok
    • International journal of advanced smart convergence
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    • 제11권4호
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    • pp.163-169
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    • 2022
  • In this paper, we propose a data hiding technique that effectively hides confidential data in the LSB of an image pixel by using the characteristics of the neighboring pixels of the image and the encryption techniques. In the proposed technique, the boundary surface of the image and the flat surface with little change in pixel values are investigated. At the boundary surface of the image, 1 bit of confidential data is encrypted and hidden in the LSB of the boundary pixel to preserve the characteristics of the boundary surface. In the pixels of the plane where the change in pixel value is small, 2 bits secret data is encrypted and hidden in the lower 2 bits of the corresponding pixel. In this way, when confidential data is hidden in an image, the amount of confidential data hidden in the image is greatly increased while maintaining excellent image quality. In addition, the security of hidden confidential data is strongly maintained. When confidential data is hidden by applying the proposed technique, the amount of confidential data concealed increases by up to 92.2% compared to the existing LSB method. The proposed technique can be effectively used to hide copyright information in commercial images.

개선된 영상 보간 알고리즘을 이용한 PCI 인터페이스 설계에 관한 연구 (A Study on the PCI Interface Design using Modified Image Interpolation Algorithm)

  • 이인섭;고영욱;김환용;김태형
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.409-412
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    • 2001
  • This paper decides provision of brightness by average value of horizontal pixel, vertical pixel association. Give weight at association value calculation to improve diagonal line characteristics, and applied method to add average of vertical pixel and average of diagonal line pixel at interpolation. Therefore it improves PSNR, and it proposed algorithm that improve horizontal outline and vortical outline characteristics in big area of luminance contrast. It changed scanning line of serial scan based on proposed algorithm and designed variable image system for efficient data transmission through PCI interface circuit.

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손실 영상을 복원하기 위한 여파기에 관한 연구 (A Study on the Filter of Restoration for Defective Image)

  • 이창희
    • 대한디지털의료영상학회논문지
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    • 제10권1호
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    • pp.41-44
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    • 2008
  • This paper will improve the quality of medical imaging to restore defective pixels on how to present the information you want to increase the efficiency, Using the filter is damaged pixel approximation of the same value to get value, but it is difficult to obtaion. How to get value for the restoration of the original imaged as a way to fill a sweater pattern of missing and how to restore the delta using the filter, compared to the extsting method of excellence.

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High-Performance Reversible Data Hiding with Overflow/Underflow Avoidance

  • Yang, Ching-Yu;Hu, Wu-Chih
    • ETRI Journal
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    • 제33권4호
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    • pp.580-588
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    • 2011
  • This paper proposes reversible data hiding using minimum/maximum preserved overflow/underflow avoidance (MMPOUA). The proposed MMPOUA algorithm consists of three main steps. These steps include the minimum (or maximum) pixel fixing, pixel squeezing, and pixel isolation. The aims of pixel fixing are to keep the minimum (or maximum) pixel of a host block unchanged and prevent the occurrence of overflow/underflow. Both the pixel squeezing and pixel isolation supply hiding storage while keeping the amount of distortion low. The proposed method can avoid (or significantly reduce) the overhead bits used to overcome overflow/underflow issues. At an embedding rate of 0.15 bpp, the proposed algorithm can achieve a PSNR value of 48.52 dB, which outperforms several existing reversible data hiding schemes. Furthermore, the algorithm performed well in a variety of images, including those in which other algorithms had difficulty obtaining good hiding storage with high perceived quality.

FPGA based Dynamic Thresholding Circuit

  • Cho, J.U.;Lee, S.H.;Jeon, J.W.;Kim, J.T.;Cho, J.D.;Lee, K.M.;Lee, J.H.;Byun, J.E.;Choi, J.C.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1235-1238
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    • 2004
  • Thresholding has been used to reduce the number of gray values in images. Typically, a single threshold value has been used, resulting in two gray level images. Image reduction of one single threshold value, however, may lose too much of the high-frequency edge information. Thus, dynamic thresholding that uses a different threshold for each pixel is preferred instead of using a single threshold value. Dynamic thresholding can preserve high frequency details as well as reduce the size of images. Since it takes long time to perform existing software dynamic thresholding in an embedded system, this paper proposes and implements a circuit by using a FPGA in order to perform a real-time dynamic thresholding,. The proposed circuit consists of two counters, and threshold look-up table, and control unit. The values of two counters determine each pixel position, the threshold look-up table converts each pixel value into other value, and the control unit generates necessary control signals. On arriving from a camera to the proposed circuit, each pixel is compared with its threshold value and is converted into other gray value. An image processing system by using the proposed circuit will be implemented and some experiments will be performed.

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Modified Cubic Convolution Interpolation for Low Computational Complexity

  • Jun, Young-Hyun;Yun, Jong-Ho;Choi, Myung-Ryul
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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    • pp.1259-1262
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    • 2006
  • In this paper, we propose a modified cubic convolution interpolation for the enlargement or reduction of digital images using a pixel difference value. The proposed method has a low complexity: the number of multiplier of weighted value to calculate one pixel of a scaled image has seven less than that of cubic convolution interpolation has sixteen. We use the linear function of the cubic convolution and the difference pixel value for selecting interpolation methods. The proposed method is compared with the conventional one for the computational complexity and the image quality. The simulation results show that the proposed method has less computational complexity than one of the cubic convolution interpolation.

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Digora$\textregistered$에서 정량영상의 특성에 대한 평가 (The Assessment on the Characteristics of Quantitative Image in Digora$\textregistered$)

  • 김재덕
    • 치과방사선
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    • 제29권2호
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    • pp.397-405
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    • 1999
  • Purpose: To clarify the usefulness and the limitation of Digora system/sup (R)/ by evaluating the physical characteristics as the quantitative image on Image Plate(Ip). Materials and Methods: Radiograms were taken by Heliodent MD(Siemens Co.. Germany) with the image plate for adult. Cu-step wedge as reference material. and three pieces of dry mandibular bone. Image analysis was performed by single color enhancement. density measurement with histogram. The relationship between the exposure conditions and the distribution of the pixel values of the image. the variation of pixel values of each step of Cu-step wedge at two different area and Cu-equivalent value of three pieces of dry mandibular bone measure by the conversion equation. Results: There was no linear relationship between the exposure condition and the average pixel value of the image. of which the distribution was not even. The pixel value differences between the center portion and the periphery were ranged from 60 to 70 in vertical plane and from 15 to 26 in horizontal plane. Two plot profile formed at two different areas of the Cu-step wedge were different. The measured Cu-equivalent values showed the discrepancy among the times of measurement. Conclusion: As above results. Image Plate(Ip) of Digora system/sup (R)/ showed the limitation as the quantitative image. The physical property of IP was expected to need to be compensated for the quantitative evaluation of the bone or others

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