A New Compression Sensing Reconstruction Method for Stitching Images Based on Deformable Convolution-Deformable Deconvolution Module

The compression sensing reconstruction of the stitching image is important for the communication of autonomous driving, intelligent vehicles, and unmanned aerial vehicles (UAV). An compression sensing reconstruction method for the stitching image is proposed. The proposed compression sensing reconstruction method contain: image stitching method, deformable convolution module, SCNet, and deformable deconvolution module. The added deformable convolution module can extract the features of the stitching image reasonably due to image distortion. The added deformable deconvolution module can make the stitching image and the reconstructed stitching image maintain consistency. Experimental results show the reconstruction SSIM and PSNR of the proposed method is better than the image stitching method and the SCNet. The reconstruction stitching images also has better visual effects.