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Adaptive homogeneity-directed demosaicing algorithm

Published: 01 March 2005 Publication History
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  • Abstract

    A cost-effective digital camera uses a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. A way to reconstruct a full three-color representation of color images by estimating the missing pixel components in each color plane is called a demosaicing algorithm. This paper presents three inherent problems often associated with demosaicing algorithms that incorporate two-dimensional (2-D) directional interpolation: misguidance color artifacts, interpolation color artifacts, and aliasing. The level of misguidance color artifacts present in two images can be compared using metric neighborhood modeling. The proposed demosaicing algorithm estimates missing pixels by interpolating in the direction with fewer color artifacts. The aliasing problem is addressed by applying filterbank techniques to 2-D directional interpolation. The interpolation artifacts are reduced using a nonlinear iterative procedure. Experimental results using digital images confirm the effectiveness of this approach.

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    • (2024)Real-Time Attentive Dilated U-Net for Extremely Dark Image EnhancementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365466820:8(1-19)Online publication date: 27-Mar-2024
    • (2023)A Fully Physics-Based CMOS Camera Model Within a 3-D Virtual World Ray Trace Simulation EngineSN Computer Science10.1007/s42979-023-02372-15:1Online publication date: 6-Dec-2023
    • (2023)Optimal image Denoising using patch-based convolutional neural network architectureMultimedia Tools and Applications10.1007/s11042-023-15014-882:19(29805-29821)Online publication date: 16-Mar-2023
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    1. Adaptive homogeneity-directed demosaicing algorithm
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          Published In

          cover image IEEE Transactions on Image Processing
          IEEE Transactions on Image Processing  Volume 14, Issue 3
          March 2005
          99 pages

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          IEEE Press

          Publication History

          Published: 01 March 2005

          Author Tags

          1. Color artifact
          2. demosaicing algorithm
          3. digital camera
          4. filterbank
          5. interpolation
          6. metric neighborhood model

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          Cited By

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          • (2024)Real-Time Attentive Dilated U-Net for Extremely Dark Image EnhancementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365466820:8(1-19)Online publication date: 27-Mar-2024
          • (2023)A Fully Physics-Based CMOS Camera Model Within a 3-D Virtual World Ray Trace Simulation EngineSN Computer Science10.1007/s42979-023-02372-15:1Online publication date: 6-Dec-2023
          • (2023)Optimal image Denoising using patch-based convolutional neural network architectureMultimedia Tools and Applications10.1007/s11042-023-15014-882:19(29805-29821)Online publication date: 16-Mar-2023
          • (2023)Joint Demosaicing and Denoising with Frequency Domain FeaturesArtificial Neural Networks and Machine Learning – ICANN 202310.1007/978-3-031-44198-1_35(419-431)Online publication date: 26-Sep-2023
          • (2023)Raw or Cooked? Object Detection on RAW ImagesImage Analysis10.1007/978-3-031-31435-3_25(374-385)Online publication date: 18-Apr-2023
          • (2022)Searching for Fast Demosaicking AlgorithmsACM Transactions on Graphics10.1145/350846141:5(1-18)Online publication date: 13-May-2022
          • (2022)Computational Optics for Mobile Terminals in Mass ProductionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.320072545:4(4245-4259)Online publication date: 22-Aug-2022
          • (2022)Learning Rich Information for Quad Bayer Remosaicing and DenoisingComputer Vision – ECCV 2022 Workshops10.1007/978-3-031-25072-9_12(175-191)Online publication date: 23-Oct-2022
          • (2022)Residual Feature Distillation Channel Spatial Attention Network for ISP on SmartphoneComputer Vision – ECCV 2022 Workshops10.1007/978-3-031-25063-7_40(635-650)Online publication date: 23-Oct-2022
          • (2022)MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-ResolutionComputer Vision – ECCV 202210.1007/978-3-031-19797-0_14(238-256)Online publication date: 23-Oct-2022
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