Abstract
In this paper a new method for multi-frame Super-Resolution is proposed. Having a low resolution(LR)
video and a few high resolution(HR) images from a speci¯c scene is frequently occurred. In addition it is
usual that between images and video frames there is some di®erences, because of di®erent of exposure time,
moving objects, camera movement and so on. In the proposed method a Super-Resolution reconstruction
method, applies on low-resolution frames for producing a reconstructed HR image. After that a synthesized
image with mapping the high resolution training image to the reconstruction result, is produced using a
proper transformation model. Fusion of the synthesized image with the reconstruction result makes the
¯nal desired HR image of the given LR frames. Experimental results show that our approach is competitive
both for quality and quantity with some famous super-resolution methods.
Keywords: Super-Resolution, Synthesis, Reconstruction, Fusion, Homography
Reconstruction+Synthesis: A Hybrid Method for Multi-Frame Super-Resolution
