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Colour artefacts of demosaicked images are often found at contours due to interpolation across edges and cross-channel aliasing. To tackle this problem, a novel demosaicking method to reliably reconstruct colour channels of a Bayer image based on two different optimised mean-curvature (MC) models is proposed. The missing pixel values in green (G) channel are first estimated by minimising a variational...
In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge structures and small detail structures. In our approach, the sharp edges are recovered via a novel edge preserving interpolation technique based on a well estimated gradient field and the edge preserving method, which incorporate the local and non-local structure information. The...
In this paper, we propose a novel interpolation algorithm for adapting the human visual system (HVS) and applying in real-time image upscaling. The defined statistical features are first computed in a local window of the low-resolution (LR) counterpart. Then the most correlated neighbours of a missing pixel in high-resolution (HR) image are adaptively selected based on local structural analysis for...
Super-resolution enhancement is a kind of promising approach to enhance the spatial resolution of images. To super-resolve a satisfying result, regularization term design and blur kernel estimation are two important aspects which need to be carefully considered. In this paper, we propose a robust regularized super-resolution reconstruction approach based on two sparsity properties to deal with these...
For showing 2D video contents on 3DTVs, 2D-to-3D conversion is required to convert 2D contents to 3D ones. In general, the conversion process consists of depth map generation, which estimates the 3D geometry of the scene, and rendering, which produces output stereo images. We propose a depth map refinement algorithm which uses adaptive decimation and guided interpolation to refine the depth map. The...
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