Title :
Image Fusion Based Circular Wavelet and Regularized Rule
Author :
Jipeng Lin ; Junhua Liu
Author_Institution :
Sch. of Electron. & Control, Chang´an Univ., Xi´an
Abstract :
Images fusion using the wavelet approach provides a conceptual framework for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. A method based on regularized rule is presented to fuse the coefficients of two source images in every level of wavelet transform. The frequency band of decomposition coefficients is also discussed, and a simple way to reconstructed wavelet based on circular convolution is proposed to solve the image boundary effect. As a result ,the fused image is less distort than each source image.
Keywords :
convolution; image fusion; image reconstruction; image resolution; wavelet transforms; circular convolution; circular wavelet reconstruction; conceptual framework; decomposition coefficient; image fusion; regularized rule; spatial resolution; wavelet transform; Convolution; Filter bank; Frequency conversion; Fuses; Image fusion; Image resolution; Multiresolution analysis; Signal resolution; Wavelet coefficients; Wavelet transforms; image fusion; regularized rule; wavelet;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.420
