Research on Multi Scale Texture Image Data Anti Interference Information Mapping Method

Because of the influence of interference information fusion method of current noise interference is larger, the problems of low precision, big error mapping, a white balance error compensation and wavelet scale decomposition of multiscale texture image data based on the interference information mapping method. The first characteristic of multiscale texture image data acquisition, the original image data acquisition using wavelet denoising method for purification pretreatment, white balance deviation compensation and image fusion, correction of image data and multi-scale texture information, using wavelet scale image data interference information feature extraction and hierarchical decomposition map method to improve the fusion depth image data. The simulation test results show that, using the method of information mapping anti-jamming multiscale texture image data, can improve the extraction accuracy of image data, image data of the SNR is very large and the normalized correlation coefficient, indicate that the anti interference mapping information fusion is good, strong robustness.