Coupled convolution method for image processing

This paper develops a Coupled Convolution Model (CCM) for Error Concealment (EC), Image Super Resolution (ISR) and Multifocus Image Fusion (MIF) used in unmanned aerial vehicles. The key points of this paper are: i) for EC, to efficiently exploit the inherent correlation relationship between the lost region and its known adjacent region, this paper introduces a special CCM in order that their convolution model results via different convolution filters are close to the counterpart on the convolution space; ii) for ISR, we develop CCM to train two convolution filters and map the original low-resolution(LR) and high-resolution(HR) image patches onto a unified convolution subspace. iii) as for MIF, since image fusion depends on the local information of source images resulting from the same scene, this paper constructs a special Coupled Two-Dimensional Convolution Model (2D-CCM) for the image patches from different source images. Experimental results show that the proposed CCM is very effective for EC, ISR and MIF.