[PDF] Top 20 Exploration of Super Resolution Methods

... Abstract: Resolution often defines the quality of the image. Resolution also defines the clarity of graphics which simply means, as the resolution is higher, the graphics becomes clearer which is the ... See full document

... We have described a new method for high-resolution restoration of image using an iterative projection process based on anti-aliasing wavelet technique, and hard-thre- sholding scheme in a new multiselective ... See full document

... supervised methods and un- supervised methods. Supervised methods are “learning algo- rithms that learn to associate some input with some output, given a training set of examples of inputs and ... See full document

... based super- resolution method [3] and compare it with the existing ...the super-resolution algorithms by reducing the computational time and cost of the system and getting a good quality ...a ... See full document

... (2) Bicubic interpolation uses aBicubic calculation that is more sophisticated thanthe calculations of the previous interpolationmethods. Bicubic interpolation is capable ofproducing photo quality results and is probably ... See full document

... Common methods of super resolution can be divided into two categories: single-frame methods and multi-frame ...Single-frame methods process one single degraded image to get the ... See full document

... This section presents the in painting method which is used in this paper to fill in the low-resolution images. This is an adaptation of the Criminisi et al method. The influence of different priority terms on the ... See full document

... of resolution working on wavelet domain facilitates to utilize the sub bands, and authors had used various transform like SWT, DWT, CT according to their ...interpolation methods like nearest neighbor, ... See full document

... a super resolution for the channel estimation the true parameters have been resolved with good ...the methods used for estimating channels are Auxiliary Beam pair(ABP), Adaptive algorithm based Code ... See full document

... that super-resolution images obtained using the SRCNN scheme was restored to closer to the original image than the restoration achieved by means of the conventional commonly used li- near interpolation ... See full document

... Phillip et al. [17] investigate conditional GANs as a general purpose solution for image to image translation problems because they learn a loss that adapts to the data. In other words, they learn a structured loss which ... See full document

... Sandeep et al. [4] shown GMM (Gaussian mixture model) to lead to a mapping regression between low resolution and high resolution patches, and receive good performance over the state-of-the-art SR ... See full document

... Image completion of large missing regions is a challenging task . As presented in the previous proposed method, there are a number of solutions to tackle the inpainting problem . In this paper we propose a new inpainting ... See full document

... Super resolution is the fundamental research area in image processing and overcome the resolution problems of imaging ...SR methods have been developed for different applications using ... See full document

... a super-resolution ...existing methods. Then, a super-resolution method is used to recover a high resolution ...inpainting methods (patch-based or PDE-based) could be used ... See full document

... similar methods. The results show that compared with the current mainstream super- resolution reconstruction algorithms, the proposed algo- rithm has stronger feature description ability, better ... See full document

... Theorem Methods -This reconstruction method implementation is achieved in the spatial domain method, but the technique is fundamentally related to the frequency domain because of the shift property of the Fourier ... See full document

... numerous super-resolution (SR) re- construction methods have been reported in the ...low- resolution (LR) images to construct a high-resolution (HR) image or image ...higher ... See full document

... two methods follow a tightly coupled quad-tree inter-scale dependency where the magnitude of the parents propagates to child co-efficients, however the quad-tree structure provides a potential pitfall for this ... See full document

... Existing methods can classified into following ...exemplar-based methods which sample and copy best matches texture patches from the known image ...These methods have been inspired from texture ... See full document