Tang Xianghong, Gong Yu, Gong Yaohuan, Gu Deren. APPLICATION OF M-BAND WAVELET TRANSFORM TO IMAGES[J]. Journal of Electronics & Information Technology, 1998, 20(1): 7-13.
Citation:
Tang Xianghong, Gong Yu, Gong Yaohuan, Gu Deren. APPLICATION OF M-BAND WAVELET TRANSFORM TO IMAGES[J]. Journal of Electronics & Information Technology, 1998, 20(1): 7-13.
Tang Xianghong, Gong Yu, Gong Yaohuan, Gu Deren. APPLICATION OF M-BAND WAVELET TRANSFORM TO IMAGES[J]. Journal of Electronics & Information Technology, 1998, 20(1): 7-13.
Citation:
Tang Xianghong, Gong Yu, Gong Yaohuan, Gu Deren. APPLICATION OF M-BAND WAVELET TRANSFORM TO IMAGES[J]. Journal of Electronics & Information Technology, 1998, 20(1): 7-13.
Wavelet transform, especially the multiresolution representation, is a very effective tool for analyzing the information contents of a signal. Based on Mallat s multiresolution analysis, this paper discusses the theoretical analysis of M-band multiresolution signal decomposition, proposes a new algorithm for realizing the theory, studies the properties of an operator which approximates a signal at a given resolution, and applies the theory to images. The results show that, first, images can be decomposed and reconstructed by M-band multiresolution representation;
second, the edges of image can be detected by M-band wavelet transform.
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