Fast Motion Estimation Based on Binary Edge Information

Won Bae PARK  Nae Joung KWAK  Young Jun SONG  Jae Hyeong AHN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.8   pp.1456-1458
Publication Date: 2003/08/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing, Image Pattern Recognition
Keyword: 
motion estimation,  block matching algorithm,  video coding,  binary edge,  

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Summary: 
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)