Fast Motion Estimation Based on Binary Edge Information (Image Processing, Image Patern Recognition)

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概要

• 論文の詳細を見る

• In this paper, we propose a fast full-search block matching algorithm for motion estimation, based on binary edge information. The binary edge information allows a faster search by reducing the computational complexity. It also reduces error, which is generated by the block located on the boundary of moving objects. After we transform the input image into an edge-based image using Sobel masks, we convert the result into a binary edge image using median-cut quantization. We then perform block matching using the binary edge image. If there exists blocks such that the error of the binary block matching exceeds threshold, we only perform edge intensity-based block matching within those blocks. We improve computational efficiency by eliminating an unnecessary searching process in no-motion regions. Simulation results have shown that the proposed method reduces the computational complexity and provides similar PSNR performance to the Full Search Block Matching Algorithm (FS-BMA)

• 社団法人電子情報通信学会の論文
• 2003-08-01

著者

• Park Won

  Department of Physiology, College of Medicine, Kwangwon National University

• SONG Young

  Department of Internal Medicine and AIDS Research Institute, Yonsei University College of Medicine

• Park Won

  Department Of Bioenergy Science And Technology Bioenergy Research Institute College Of Agriculture A

• Ahn Jae

  Research Institute For Computer And Information Communication Chungbuk National University

• Song Young

  Department Of Computer And Communication Engineering Chungbuk National University

• Kwak Nae

  Department Of Computer And Communication Engineering Chungbuk National University

• Song Young

  Department Of Animal Resources Technology Jinju National University

• Park Won

  Department Of Computer And Communication Engineering Chungbuk National University

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