Digital Video Stabilization Based on Conditional Filter
PAN Lei
Abstract：In the process of motion smoothing for digital video stabilization,since one kind of filter is poor of adaptabili-ty and multi-filter is lack of stability,a conditional filter method which uses the corresponding filter in accordance with differ-ent type of jitter noise is proposed in this paper.At first,according to the characteristics of global motion of camera,jitter noise is classified as two types,including impulsive noise and random noise.Then,by analyzing the changing trend of coordi-nate of reference points in the filter window,sufficient conditions for these two types of noise are given.At last,two differ-ent motion smoothing methods,namely,improved weighted mean filter and Gaussian filter are employed for the two types of noise respectively.Meanwhile,image jitter has been solved in multi-filter.Experiments show that,compared with the meth-od of single Gaussian filter,improved Gaussian filter and mixed low-pass filter,the proposed method is more effective to fil-ter jitter noise and preserve the desirable motion.
Keywords：digital video stabilizationmotion smoothingconditional filterweighted mean filterGaussian filter
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1205-1209,1215 )