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Motion based video super resolution using edge directed ...
Consider the “detected motion region” shown in Fig. 2.As the motion detection algorithm dictates, this region consists of 8×8 motion blocks .In this example, the maximum width (m w) of the region is 48 pixels, where the maximum height (m h) of it is 40 pixels.The next stage is to find a region in which we can position an integer number of 32×32 pixel blocks.
Robust Online Video Super-Resolution Using an Efficient ...
Super-resolution reconstruction (SRR) is a technique that aims to obtain high-resolution (HR) images of a given scene from low-resolution (LR) observations [1, 2, 3].Due to its ability to transcend the physical limitations of conventional imaging sensors, SRR finds applications in many different areas ranging from standard end-user digital cameras to forensics [], remote sensing [] and medical ......
Global motion based video super-resolution reconstruction ...
Global motion based video super-resolution reconstruction using discrete wavelet transform Wasnaa Witwit 0 1 2 Yifan Zhao 0 1 2 Sri Addepalli 0 1 2 Karl Jenkins 0 1 2 Yifan Zhao 0 1 2 0 Centre for Computational Engineering Sciences, School of Aerospace, Transport and Manufacturing, Cranfield University , Cranfield, Bedfordshire MK43 0AL , UK 1 Through-Life Engineering Services Centre, School ......
Spatiotemporal Super-Resolution Reconstruction Based on ...
In order to improve the spatiotemporal resolution of the video sequences, a novel spatiotemporal super-resolution reconstruction model (STSR) based on robust optical flow and Zernike moment is proposed in this paper, which integrates the spatial resolution reconstruction and temporal resolution reconstruction into a unified framework. The model does not rely on accurate estimation of subpixel ......
Kernel regression for image processing and reconstruction ...
Super-resolution reconstruction proposes a fusion of several low-quality images into one higher quality result with better optical resolution. Classic super-resolution techniques strongly rely on the availability of accurate motion estimation for this fusion task. ... a patch-based, locally adaptive denoising method based on clustering the ......
A Total Variation Regularization Based Super-Resolution ...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the ......
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