Digital Image Stabilization Based on Variance Properties
In this paper, a novel method for the digital image stabilization is proposed that use variance properties(VDIS) to reduce the computational cost of block matching algorithm for local motion estimation. This method based on calculation of variance of pixels in each frame and accumulated variance of each pixel in each location from first reference frame to current frame. Then calculate summation of all accumulated variance for current frame and using them for select best macroblock. Four macroblocks are used hi each frame. By statistical calculation the best macroblock is selected then local motion vector(LMV) of selected macroblock, is estimated by using Full search algorithm. LMV of selected macroblcok is used as global motion vector(GMV) and it is used to stabilize that frame. Full search algorithm is used for motion estimation in selected macroblock, but partial distortion elimination (PDE)1 method was used to terminate the improper candidate blocks and reduce computation for block matching.
digital image stabilization motion estimation block matching algorithm global motion Vector statistical functions partial distortion elimination fast full search
M.H. Shakoor M. Moattari
Fars Science & Research Branch, Islamic Azad University, Shiraz, Iran
国际会议
2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)
武汉
英文
159-162
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）