Wavelet Analysis and Processing Algorithm for Large-scale Image
Wavelet analysis, the newest time-frequency analysis tool with its unique advantages, was widely used in engineering.However, in the practical application, the huge size of the data made it difficult and impossible to process a Large-scale image by the ordinary wavelet process method.But Wavelet analysis still works well when the normal size image is processed. According to the facts mentioned before,we supposed that the batch treating data, distributional processing data, and the improvement wavelet algorithm might be the ways to solve Large-scale images size problem.To prove our hypotheses validity, we made a practical application contrasting the similar degree of the two large-scale images. Since we successfully get two imageserror, we prove that one of our hypotheses-batch treating data is feasible and it is possible to use the wavelet analysis in the Large-scale image process.
Wavelet Analysis Large-scale Image Process
Jianhua Zhang Qianming Fu Yan Ma Chunxia Lu
College of Information Technology and Software Engineering, Beijing Normal University Zhuhai Campus Guangdong Mobile Communication Co.LTD Zhuhai Branch
国际会议
杭州
英文
325-328
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）