We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill b...
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
Jorge Silva, Minhua Chen, Yonina C. Eldar, Guiller...
A novel framework for image inpainting is proposed, relying on graph-based diffusion processes. Depending on the construction of the graph, both flow-based and exemplar-based inpa...
We present a new method for the restoration of digitized photographs. Restoration in this context refers to removal of image defects such as scratches and blotches as well as to r...
— This paper carves out a way to image compression that is motivated by the recent advancement in image inpainting. An image coding approach is proposed in which a number of regi...
We present a novel technique for image inpainting, the problem of filling-in missing image parts. Image inpainting is ill-posed and we adopt a probabilistic model-based approach ...
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.
Image decomposition consists of splitting an image into two or more components. One component is piecewise smooth and models object shapes. Another component consists of the textu...
Video inpainting is the process of repairing missing regions (holes) in videos. Most automatic techniques are computationally intensive and unable to repair large holes. To tackle...
Sen-Ching S. Cheung, Jian Zhao, M. Vijay Venkatesh