Far/near infrared adapted pyramid-based fusion for automotive night vision

A new metric based on extended spatial frequency and its application to DWT based fusion algorithms

“…The aim of this qualitative analysis was to determine which of the three fusion methods produce imagery with the highest perceived image quality by human observers viewing two different types of monitors. [7][8][9][10][11][12]. Note that no post-processing was imposed on the fused images.…”

“…Two common fusion methods are the discrete wavelet transform (DWT) [7][8][9][10] and various pyramids (such as Laplacian, contrast, gradient and morphological pyramids) [11,12]. However, only a few metrics are available for quantitative evaluation of the quality of fused imagery.…”

Multiresolution SVD based Image Fusion

“…are all limited by the capability of the sensor. For example, a visible-band sensor such as the digital camera is appropriate for a brightly illuminated environment such as daylight scenes but is not suitable for poorly illuminated situations found during night, or under adverse conditions such as in fog or rain [13].…”

An Exploration of Color Fusion with Multispectral Images for Night Vision Enhancement

“…The discussions of image fusion here are limited to pixel-level fusion. Two commonly used fusion methods are the discrete wavelet transform (DWT) (Pu & Ni, 2000;Nunez et al, 1999) and various pyramids (such as Laplacian, contrast, gradient, and morphological pyramids) (Jahard et al, 1997;Ajazzi et al, 1998), which both are multiscale fusion methods. Recently, an advanced wavelet transform (aDWT) method (Zheng et al, 2004) has been proposed, which incorporates principal component analysis (PCA) and morphological processing into a regular DWT fusion algorithm.…”