[PDF] Top 20 Super Resolution Based Image Inpainting

... diffusion based on partial differential equations[1], [2] and variational methods ...diffusion based methods tend to introduce some blur when the hole to be filled in is ...known image neighbourhood ... See full document

... examplar based inpainting. Inpainting is performed on a coarse version of the input ...areas, super resolution algorithm is used which converts the low resolution image ... See full document

... compressed image suffers from smoothening across the edges and ...cases, super- resolution of these images consists of two phases: de-blocking and ...single image ... See full document

... frequency image details like textures and edges. Gradient based methods on the other hand perform well at generating high-resolution images with local consistency but generated images tend to be ... See full document

... high resolution images assumes essential part in various, electronic applications as high resolution images are craved and frequently ...high resolution images as it gives more subtle elements of ... See full document

... For this work we performed several experiments on synthetic images of digits and actual license plate images. For the high- resolution training data set, we used digit fonts from 20 dif- ferent font families. The ... See full document

... .in image processing it is one of the fundamental ...in image processing is the process of interpolation. The quality of image is mostly depend on the used interpolation ...interpolation super ... See full document

... Partial differential equation based method is working repeatedly. This algorithm lines which are appearing at the border of the region should be smoothly in-painted from outside of the border to inner region. It ... See full document

... of image through super resoluting it, by using a set of Fuzzy Logic ...is based upon Fiuzzyfication in which set of rules are applied on the fuzzy variables and Defuzzyfication, which is by using a ... See full document

... HR image. Iterative Back-Projection algorithm is based on a similar thought as the computer-aided tomography where a 2-D article is reconstructed from its 1-D ...HR image can be created from the info ... See full document

... of image super-resolution(SR) is to construct a high-resolution (HR) from one or more low-resolution (LR) images and additional information such as exemplar images or statistical priors ... See full document

... proposed super resolution algorithm uses SWT sub bands for image registration and a curvelet transform based interpolation to form a single high resolution ...low resolution ... See full document

... single image super resolution based on support vector regression is implemented in MATLAB and compares the result with other state of art ...low-resolution image to ... See full document

... a super- resolved version of a LR textual image using sparse representation that suggest image patches from suitable dictionary ...dictionaries based clustered sparse coding approach for ... See full document

... Before introducing the training processes of neural net- works, we need to distinguish supervised methods and un- supervised methods. Supervised methods are “learning algo- rithms that learn to associate some input with ... See full document

... is Image. The image inpainting or video inpainting is useful to remove the unwanted parts or holes form the image without changing the original content of ...different image ... See full document

... work, based on the convergence property of the image energy change ratio between primitive and non-primitive fields during iterative regularization By appropriately locating the turning point where ... See full document

... spatial resolution of the captured ...spatial resolution of the acquired images. The most direct hardware-based approach of increasing the spatial resolution is to reduce the detector size or, ... See full document

... learning based SR method which is used for converting Low Resolution (LR) image to High Resolution (HR) ...HR image degraded to LR and then that image is up-scaled to the size of ... See full document

... In this method, holes are filled by sampling and copying neighbouring pixels. Main difference between different texture based algorithms is how they maintain continuity between hole’s pixel and original ... See full document