Fuzzy Metric Based Weight Assignment for Deinterlacing

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概要

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• An effective interlaced-to-progressive scanning format conversion method is presented for the interpolation of interlaced images. On the basis of the weight assignment algorithm, the proposed method is composed of three stages: (1) straightforward interpolation with pre-determined six-tap filter, (2) fuzzy metric-based weight assignment, (3) updating the interpolation results. We first deinterlace the missing line with six-tap filter in the working window. Then we compute the local weight among the adjacent pixels with a fuzzy metric. Finally we deinterlace the missing pixels using the proposed interpolator. Comprehensive simulations conducted on different images and video sequences have proved the effectiveness of the proposed method, with significant improvement over conventional methods.

著者

• Jeon Gwanggil

  Department Of Electronics And Computer Engineering Hanyang University

• LEE Young-Sup

  Department of Embedded Systems Engineering, Incheon National University

• KANG SeokHoon

  Department of Embedded Systems Engineering, Incheon National University

関連論文

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• A Gradient Inverse Weighted Filtering Approach for Video Deinterlacing
• Surface Modeling-Based Segmentalized Motion Estimation Algorithm for Video Compression
• Fuzzy Metric Based Weight Assignment for Deinterlacing

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