[PDF] Top 20 Learning-Based Nonparametric Image Super-Resolution

... inferred image patches results in spatial zooming or ...an image of the digit “8” can be greatly min- imized if we can introduce information which reduces the search space to the set { 0, 3, 6, 8, 9 } , ... See full document

... an image at higher resolution from its low-resolution ...high- resolution (HR) images are desirable and always ...of Super- Resolution (SR) is to generate a higher ... See full document

... low- resolution inpainting pictures method and a single-image super-resolution ...low-resolution image is much easier than performing it on the full ...low-resolution ... 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

... 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

... the image or the spatial priority of the learning form has been proposed ...sample image to use as a reference of reconstruction type, learning and using information to mitigate the side ... See full document

... high resolution image patches or high and low resolution image ...the learning efficiency is relative ...low resolution patches have same local geometrical ...low ... See full document

... deep-learning-based image SR approaches always learn an end-to-end mapping, which takes the low-resolution image as input and directly outputs the high-resolution ...input ... See full document

... the super-resolution ...subsequent super-resolution is ...JPEG image with a small width parameter (weak blurring) and calculate the Laplacian of resulting blurred ...by ... 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

... Logic based approach for interpolation of a single image to obtain super resolution ...detailed image, less ...provide super resolution image for multiple ... 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

... In the training phase, patches are extracted from a num- ber of natural images. These images are taken from the set provided by Yang et al. [11]. These sets of natural images are very rich in high-frequency content and ... 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 ... See full document

... high resolution image from a low resolution input image single image super resolution is ...Single image super resolution is used to enhance the ... 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

... reconstruction based methods the spatial resolution is increased by proper fusion of a series of accurately registered aliased images ...high resolution image correctly. The quality of ... See full document

... test image. Here the low-resolution image is of size M × M ...high-resolution image, has a size of 2M×2M ...low resolution image and the corresponding coefficients in each ... See full document

... high-resolution image are learned locally from a set of high-resolution training images, the inverse contourlet transform of which recovers the super-resolved ...wavelet-based ... See full document

... enhancedresolution image from one or multiple input low resolution ...The super resolution problem is not framed correctly since the multiple high-resolution images can produce the same ... See full document