مشخصات پژوهش

عنوان	Digital Image Stabilization Based on Variance Properties
نوع پژوهش	مقاله ارائه‌شده
کلیدواژه‌ها	digital image stabilization, motion estimation, block matching algorithm, global motion Vector, statistical functions, partial distortion elimination, fast full search.
چکیده	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 macro block. Four macro blocks are used in each frame. By statistical calculation the best macro block 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 macro block, but partial distortion elimination (PDE)[1] method was used to terminate the improper candidate blocks and reduce computation for block matching.
پژوهشگران	مزدا معطری (نفر دوم)، محمد حسین شکور (نفر اول)