Title :
Dual tree discrete wavelet transform with application to image fusion
Author :
Ray, Lee A. ; Adhami, Reza R.
Author_Institution :
US Army Space & Missile Defence Command, Huntsville, AL
Abstract :
Image fusion involves combining two or more images to produce a single image with improved visual quality. This paper presents a discrete wavelet transform (DWT) image fusion methodology based on the intensity magnitudes of the wavelet coefficients and compares three variations of the DWT implemented separately in this fusion model. The image fusion model, using the decimated discrete wavelet transform (DDWT), the undecimated discrete wavelet transform (UDWT), and the dual tree discrete wavelet transform (DT DWT), is applied to multi-focus and multi-sensor images. The resulting fused images are compared visually and through root mean square error (RMSE) computations
Keywords :
discrete wavelet transforms; duality (mathematics); image processing; mean square error methods; sensor fusion; trees (mathematics); decimated discrete wavelet transform; dual tree discrete wavelet transform; image fusion; multi-focus images; multi-sensor images; root mean square error method; visual quality; Discrete wavelet transforms; Filter bank; Image fusion; Image reconstruction; Root mean square; Signal resolution; Spatial resolution; Tree data structures; USA Councils; Wavelet coefficients;
Conference_Titel :
System Theory, 2006. SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-7803-9457-7
DOI :
10.1109/SSST.2006.1619105
