View Transition based Dual Camera Image Fusion
Tiantian Cao Xuan Dong Chunli Peng Zhengqing Li Xinyu Guo Weixin Li
The dual camera system of wide-angle ($\bf{W}$) and telephoto ($\bf{T}$)
cameras has been widely adopted by popular phones. In the overlap region,
fusing the $\bf{W}$ and $\bf{T}$ images can generate a higher quality image.
Related works perform pixel-level motion alignment or high-dimensional feature
alignment of the $\bf{T}$ image to the view of the $\bf{W}$ image and then
perform image/feature fusion, but the enhancement in occlusion area is
ill-posed and can hardly utilize data from $\bf{T}$ images. Our insight is to
minimize the occlusion area and thus maximize the use of pixels from $\bf{T}$
images. Instead of insisting on placing the output in the $\bf{W}$ view, we
propose a view transition method to transform both $\bf{W}$ and $\bf{T}$ images
into a mixed view and then blend them into the output. The transformation ratio
is kept small and not apparent to users, and the center area of the output,
which has accumulated a sufficient amount of transformation, can directly use
the contents from the T view to minimize occlusions. Experimental results show
that, in comparison with the SOTA methods, occlusion area is largely reduced by
our method and thus more pixels of the $\bf{T}$ image can be used for improving
the quality of the output image.