Selection of Wavelet Filters for Panoramic Dental X-Ray Image Compression

Comparative efficiency of Wavelet filters for multi-focus color image fusion

“…Some important properties of wavelet filters that lead to efficiency to image fusion are symmetry (useful in avoiding artifacts at the borders of the wavelet subbands and lead to linear p hase filter), orthogonality (allow fast algorithm), regulanty, and degree of smootlmess (related to filter order or filter lengths) [5]. The different wavelet filters make different trade-off between how compactly the basis functions are localized in space and how smooth they are.…”

“…The different wavelet filters make different trade-off between how compactly the basis functions are localized in space and how smooth they are. Moreover, the even length filters have significantly less shift variance than odd length filters [5]. In this paper, two types of wavelet families at various filters order are used to investigate the performance of color image fusion.…”

“…If the basis functions are different, the image representation will also be different and the fusion performance will change. In fact there is no single wavelet filter, which will always provide the best performance [5]. Ratio.…”

Analysis of Multi-Focus Gray Scale Image Fusion Using Wavelets

“…The quality of the fused image can be verified by visual and statistical analysis [3]. The visual analysis depends on human observers to assess the quality and is tedious process.…”

“…The one popular multi-focus fusion is using the Wavelet Transforms based methods [1]. There is no single wavelet filter, which will always provide the best performance [3]. Since there are many wavelet filters available, each with the different set of basis functions.…”