Distrital University Francisco José de Caldas, Carrera 7 No. 40B – 53, Bogotá D.C., Colombia.

---

Abstract—This article implements a new Web service that offers users the possibility to merge images. Throughout the article three important issues are addressed. First, a Web service is implemented using free software to provide a simple interface for users to interact and request the image-fusion service. The second issue deals with the analysis of the Fast Haar Wavelet Transform (FHWT). The final part of the article is a description of the proposed methodology that actually performs image fusion using FHWT. Also in order to determine the efficiency of FHWT five different Wavelets were implemented in Matlab to merge the same pair of satellite images. By using four indices, the resulting images were evaluated in terms of both spatial quality and spectral quality. The best results of the evaluation process were obtained with FHWT, which preserves the spectral richness of the original multispectral image while improving spatial quality.

Index Terms—Daubechies, satellite images, image fusion, wavelet transforms.

[PDF]

Cite: Rubén Javier Medina-Daza, Nelson Enrique Vera-Parra, Erika Upegui, "Wavelet Daubechies (db4) Transform Assessment for WorldView-2 Images Fusion," Journal of Computers vol. 12, no. 4, pp. 301-308, 2017.