• Title/Summary/Keyword: 벡터 오차 확산법

Search Result 6, Processing Time 0.018 seconds

Improved Vector Error Diffusion for Reduction of Smear Artifact in the Boundary Regions (경계 영역에서의 색번짐 현상을 줄이기 위한 향상된 벡터 오차 확산법)

  • 이순창;조양호;김윤태;이철희;하영호
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.41 no.3
    • /
    • pp.111-120
    • /
    • 2004
  • This paper proposes a vector error diffusion method for smear artifact reduction in the boundary region. This artifact mainly results from a large accumulation of quantization errors. In particular, color bands with a smear artifact, the width of a few pixels appear along the edges. Accordingly, to reduce this artifact, the proposed halftoning process excludes the large accumulated Quantization error by comparing the vector norms and vector angles between the error-corrected vector and eight primary color patches. When the vector norm of the error corrected vector is larger than those of eight primary color patches, the quantization error vector is excluded from the quantization error distribution process. In addition, the quantization error is also excluded when the angle between eight primary color patches and error corrected vector is large. As a result, the proposed method enables a visually pleasing halftone pattern to be generated by all three color separations into account in a device- independent color space and reduces smear artifact in the boundary regions.

Multi-level Vector Error Diffusion Based on Primary Color Selection Considering Lightness (휘도를 고려한 기준색 선택 기반의 다단계 벡터 오차 확산법)

  • 박태용;조양호;이명영;하영호
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.41 no.5
    • /
    • pp.77-85
    • /
    • 2004
  • This paper proposes a multi-level vector error diffusion method using 64 primary colors to improve color impulse artifact in bright region. Vector error diffusion method causes color impulse artifact in bright region because we only use the Euclidean distance measure in quantization process. In order to reduce this artifact, the proposed method divides input color into chromatic color and achromatic color according to chroma value. In the case of chromatic color, input color is classified into bright region, middle bright region, and dark region according to lightness value. N candidate primary color is organized using lightness difference between input vector and 60 chromatic primary color vector in the case of bright region. Then, primary color with minimum vector norm between input vector and N candidate primary color in addition to 4 achromatic primary colors is selected as output color. As a result of experiments, the proposed method showed visually pleasing halftone output.

Color halftoning based on color correction using vector error diffusion (벡터 오차 확산법을 이용한 색보정 기반의 칼라 중간조 처리법)

  • Choi, Woen-Hee;Lee, Cheol-Hee;Kim, Jeong-Yeop;Kim, Hee-Soo;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.37 no.5
    • /
    • pp.76-83
    • /
    • 2000
  • This paper proposes a new color halftorning method using color correction by vector error diffusion to reduce color difference, necessarily appears on cross-media color reproduction In order to predict output colors on each device, a neural system IS applied and mean prediction errors in device characterization for monitor and printer are defined to calculate the thresholds for color correction Thus, color difference between monitor and printer is compared per each pixel If color difference is larger than the predetermined mean prediction errors, the halftoned dots to the current pixel are rearranged by vector error diffusion The proposed method can reduce the smear artifact by selective vector error diffusion and decrease color difference on cross- media color reproduction by color correction.

  • PDF

An Improved K-menas Algorithm Quantization Error in Clusters (클러스터 양자화 에러를 고려한 개선된 K-means 알고리즘)

  • 유성필;권동진;곽내정;박원배;송영준;안재형
    • Proceedings of the Korea Multimedia Society Conference
    • /
    • 2002.05c
    • /
    • pp.257-262
    • /
    • 2002
  • 영상을 적은 비트로 표현할 때 먼저 양자화를 이용하여 칼라맵을 생성한다. 그리고 적은 비트의 칼라맵으로도 인간의 시각에 적합하게 표현하기 위해 디더링을 결합한다. 본 논문에서는 디더링 기법중 오차확산법이 주변화소로 양자화 에러를 확산한다는 것을 고려하여 칼라맵을 생성하는 새로운 방법을 제안한다. 제안방법은 LBG 알고리즘의 개선하여 클러스터의 양자화 벡터를 구하는 각각의 반복단계에서 현재 양자화 벡터와 새로운 중심값(centroid)을 연결하는 직선 상에서 새로운 양자화벡터를 구하는 기존의 알고리즘에 에러를 고려하여 새로운 양자화 벡터를 얻을 수 있도록 하였다. 제안방법을 적용하였을 때 기존의 LBG 알고리즘에 비해 양자화 영상과 디더영상의 화질이 개선되었다. 또한 각 칼라별 MSE 와 영상전체 MSE 에 대해서도 제안방법은 기존의 LBG 알고리즘에 대해 개선되었다.

  • PDF

Multi-level Vector Error Diffusion for Smear Artifact Reduction in the Boundary Regions (경계 영역에서 색 번짐 감소를 위한 멀티레벨 벡터 오차 확산법)

  • 박태용;조양호;김윤태;하영호
    • Proceedings of the IEEK Conference
    • /
    • 2003.11a
    • /
    • pp.461-464
    • /
    • 2003
  • This paper proposes the multi-level vector error diffusion for smear artifact reduction in the boundary regions. Smear artifact mainly results from a large accumulation of quantization error. Accordingly, to reduce these artifacts, the proposed method excludes the large quantization error in the error diffusion process by comparing the magnitude of the error vector with predetermined first threshold. In addition, if the vector norm of the difference between the error adjusted input vector and the primary co]or that has minimum vector norm for the error adjusted input vector is larger than second threshold, the error is excluded. As a result, the proposed method reduce smear artifact in the boundary region and produces visually pleasing halftone pattern.

  • PDF

Fast multilevel vector error diffusion based on adaptive selection of patch (적응적 패치 선택에 기반한 고속 멀티레벨 벡터 오차 확산법)

  • 박태용;이명영;조양호;하영호
    • Proceedings of the IEEK Conference
    • /
    • 2003.07e
    • /
    • pp.1747-1750
    • /
    • 2003
  • This paper proposes a multilevel vector error diffusion for fast and accurate color reproduction. Proposed method considered both hue angle and Euclidean distance during the multilevel vector error diffusion procedure to improve time complexity and output image quality In the error diffusion process, it can be determined whether error is diffused or not by comparing the vector norm and lightness value between original vector and error corrected vector of neighborhood pixels. For adaptive selection of output patch, this paper computes chroma value of error corrected vector and compares the hue angle between error corrected input vector and 64 primary color vectors.

  • PDF