Postdoctoral Defense on Study on Image Fusion based on Edge Preserving Filters
Date: 15th November, 2018
Time: 4.00-5.30 P.M,
Venue: Room No.: 442, Building A,
School of Aeronautics and Astronautics,
Shanghai Jiao Tong University
Abstract: In computer vision applications, such as, digital photography, surveillance,
medical imaging and remote sensing, it is quite common to capture images under various
spectral ranges or viewing/lighting conditions to acquire additional information of a scene.
However, these images are complementary in nature. For better perception of the scene,
complementary information of these images need to be combined. This process is also
know as image fusion. From the past three decades, plenty of algorithms are proposed for
image fusion based on various tools. In the current study, we developed new image fusion
algorithms based on edge preserving filters (Fourth order partial differential equations,
Cross bilateral filter and Guided image filter) because of their reduced complexity and
improved performance.
