Automatic Vision Focus Algorithm for Micro-image Sampling by Adaptive Lifting Scheme Denoising
High SNR ( signal to noise ratio) image is deeply needed in the precise analysis of IC wafer micro-image, current denoising algorithms cant reach the analytic precision in some level. In this paper, one image denoising algorithms is putted forward based on adaptive lifting scheme, the construction of Haar wavelet and CDF(2,2) is given, the signal is decomposed by wavelet base Haar or wavelet base CDF (2,2) adaptively along four directions (horizon, verticality, 45 degree and 135 degree) in the step of predicting, the wavelet coefficients are calculated separately at each direction, all the thresholds are gained using wavelet soft-thresholding principle, the optimal thresholds minimize the error of the result as compared to these the signal is decomposed along horizon and verticality. Finally the definition of the image is appraised with gray gradient judging function, the experimental data shows that the focus error is no more 4 μm.
Computer Vision Micro-Image Sampling Lifting Scheme Denoising Automatic Focus
Yaohua Deng Guixiong Liu Liming Wu Yingmin Zhang Nanhui Lai Jinxuan Lin
School of Mechanical Engineering, South China University of Technology,Guangzhou 510643, China;Colle School of Mechanical Engineering, South China University of Technology,Guangzhou 510643, China College of Information Engineering, Guangdong University of Technology,Guangzhou 510006, China
国际会议
上海
英文
2044-2049
2007-03-12（万方平台首次上网日期，不代表论文的发表时间）