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In this paper, the feasibility of super-resolution reconstruction of the deformable tissue from temporal sequences of ultrasound images is extensively studied. The proposed image observation model integrates the non-rigid motion and imaging formation process into a unified super-resolution frame. To facilitate the motion estimation, Lucas-Kanade optical flow is chosen for non-rigid motion estimation...
Super-resolution (SR) aims at generating a high resolution image or image sequence from several slightly different low-resolution images. In previous work, we have showed that a Maximum A Posteriori (MAP) SR algorithm can yield significant image quality enhancement of the individual respiratory gated PET frames. However, in the past it has been also argued that image-based motion correction algorithms...
To improve the spatial resolution of the reconstructed image/video sequence and reduce the ringing artifacts, we propose an improved iterative back projection (IBP) algorithm, using the second-order differential revised term. In addition, video super-resolution segmentation reconstruction model based on a sliding window, movement registration based on a four-parameter transformation model, etc. are...
This paper proposed a superresolution (SR) reconstruction method by combining the cross-diamond-hexagonal search (CDHS) block-matching algorithm (BMA) and the simple block-wise motion vector selection (BWMVS) strategy to obtain stable and high quality reconstruction results. The experimental results showed that the reconstruction quality of CDHS BMA is comparable with full search BMA but the computation...
Moving objects are often the most interesting parts in image sequences. When images from a camera are undersampled and the moving object is depicted small on the image plane, processing afterwards may help to improve the visibility as well as automatic recognition of the object. This paper presents an approach which performs Super-Resolution (SR) specifically on small moving objects. The presented...
In this paper, a simple block-wise motion vector selection (BWMVS) strategy was incorporated into the motion estimation algorithm. The occlusion that severely damages the quality of the reconstructed video sequence in superresolution (SR) problem is effectively removed. The stability due to the BWMVS could be seen from the reconstruction results in comparison with the standard interpolation.
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