Reconstruction-based super-resolution from motion video has been an active area of study in computer vision and video analysis. Image alignment is a key component of super-resoluti...
This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
Abstract. Super-resolution of a single image is a severely ill-posed problem in computer vision. It is possible to consider solving this problem by considering a total variation ba...
Priyam Chatterjee, Vinay P. Namboodiri, Subhasis C...
Being non-invasive and effective at a distance, recognition suffers from low resolution sequence case. In this paper, we attempt to address the issue through the proposed high freq...
Junping Zhang, Jian Pu, Changyou Chen, Rudolf Flei...
A non-iterative method of image super-resolution based on weighted median filtering with Gaussian weights is proposed. Visual tests and basic edges metrics were used to examine th...