• Title/Summary/Keyword: Jagging artifact

Search Result 3, Processing Time 0.017 seconds

The Method for Removing Jagging Artifact (Jagging Artifact 억제 기법)

  • Yang Seoung-Joon;Lee In-Hwan;Kwon Young-Jin
    • The Transactions of the Korean Institute of Electrical Engineers D
    • /
    • v.54 no.3
    • /
    • pp.194-197
    • /
    • 2005
  • Digital display products are gradually becoming diversified and pursuing high-quality image display. Digital TV supports various video signal formats from conventional SD to digital HD because the format conversion of video image is required. Traditional format conversion of the video image is achieved by a 1-dimensional linear interpolator applying both horizontal and vertical direction. Jagging artifact can be expressed as the linkage of line segments in several directions. In this paper, we present the method that removes jagging artifact effectively using PCA (Principle Component Analysis) and reserve the detail in a given image.

Adaptive Unsharp Masking using Bilateral Filter (Bilateral Filter를 이용한 적응적 언샤프 마스킹)

  • Kim, Hak Gu;Lee, Dong Bok;Song, Byung Cheol
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.49 no.11
    • /
    • pp.56-63
    • /
    • 2012
  • In this paper, adaptive unsharp masking using bilateral filter, edge-preserving smoothing filter is proposed to reduce the overshoot and jagging artifact in sharpening images. Previous image enhancement methods including unsharp masking(UM) can emphasize high-frequency details strongly, but often cause several artifacts such as overshooting, noise, jagging and so on. Proposed image enhancement method preserves edges well because of using bilateral filter and sensitively controls a weight according to edge's directions. Therefore, it enhances sharpness and effectively reduces overshoot and jagging artifacts. Simulation results comparing output of previous AUM with proposed method show that proposed algorithm makes images properly enhanced, and we know that overshoot and jagging artifacts are many reduced.

Non-Dyadic Lens Distortion Correction and Image Enhancement Based on Local Self-Similarity (자기 예제 참조기반 단계적 어안렌즈 영상보정을 통한 주변부 열화 제거)

  • Park, Jinho;Kim, Donggyun;Kim, Daehee;Kim, Chulhyun;Paik, Joonki
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.51 no.10
    • /
    • pp.147-153
    • /
    • 2014
  • In this paper, we present a non-dyadic lens distortion correction model and image restoration method based on local self-similarity to remove jagging and blurring artifacts in the peripheral region of the geometrically corrected image. The proposed method can be applied in various application areas including vehicle real-view cameras, visual surveillance systems, and medical imaging systems.