Image Super-Resolution
Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise
... spatial resolution of low resolution image with Gaussian blur and Pepper & salt noise, a blind single-image super resolution reconstruction method is ...low resolution ...
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A Survey on Image Super Resolution Techniques
... fundamental image processing research ...clearer image with a richer and informative ...of super resolution techniques. We classify image super resolution techniques into ...
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Autoregressive Image Super resolution And Retrival of Image Using NSP
... The image resolution describes the amount of information contained by ...images. Image super-resolution (SR) reconstruction is essentially an ill-posed problem, so it is important to ...
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Survey On Multi-Frame Image Super-Resolution
... IMAGE Super-Resolution is the most widely and expensive area of research and they can decade to solve the problem of limited resolution by image acquisition devices and also dependent ...
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MMPM for Single Image Super-Resolution
... In recent years, there has been extensive research on the single image super-resolution. Therefore, several researches have done for reducing processing time and improvement of quality of the ...
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IMAGE SUPER RESOLUTION RECONSTRUCTION TECHNIQUES-A SURVEY
... single-image super-resolution problems [8]. Given a low resolution image as input and the objective is to recover its high-resolution counterpart using a set of training examples ...
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Adaptive Outlier Rejection in Image Super-resolution
... of image super-resolution is the need for accurate subpixel registration of the input ...of super-resolution algorithms is particularly degraded in the presence of persistent outliers, ...
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Design & Development Of An Image Super-Resolution Scheme
... improved resolution image is obtained from many geometrically warped, low resolution ...HR image isn't only an image that has additional pixels (like in the case of interpolation), ...
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Learning-Based Nonparametric Image Super-Resolution
... 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 ...
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A Survey on Techniques of Image Super Resolution
... Super resolution is the process of generate or obtaining a High-Resolution (HR) form a single Low-Resolution (LR) image or a sequence of LR images taken at different ...HR image ...
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Image Super Resolution Using Wavelet Analysis
... of image resolution enhancement is to process a given input low resolution image to make the result more desirable than the original image for a given specific ...an image ...
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Exploring Image Super Resolution Techniques
... Andrew Beers et al. [14] took this concept of PG-GANs a little further and used them specifically for medical image synthesis and the resolution of medical image data. The same training scheme of ...
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Single Image Super-Resolution
... Features represent some specific characteristics in an im- age. Extracting features, for example, can extract edges of an image. Kernels in convolutional network represent a fea- ture extracting method, which ...
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A COMPREHENSIVE REVIEW OF IMAGE SUPER RESOLUTION ALGORITHMS
... single image interpolation is very much limited due to the ill-posed nature of the problem, and the lost frequency components cannot be ...low resolution frames, and thus the ill-posed upsampling problem ...
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A Novel Image Super-Resolution
... desired interpolation point x ≥ 0.With anobvious extension to the two-dimensional case. Let⌊·⌋ is the floor operator: the largest integer less than or equal to the argument. As a result of this simplisticinterpolation ...
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Super-Resolution of an Image using Examplar Technique
... the image sensing element and optics, it’s expensive or troublesome to get the high-resolution ...the super- resolution technology to boost the quality of the image, so as to induce ...
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A Survey on Super-Resolution Techniques
... multiple image learning 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 ...
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Super-Resolution and Iterative Cascaded De- blocking of Compressed Images
... compressed image suffers from smoothening across the edges and ...cases, super- resolution of these images consists of two phases: de-blocking and ...single image ...
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Super Resolution with Multiselective Contourlets
... high-resolution image; and to intensify geometric structure in initial estimation with an iterative projection process based on hard-thresholding scheme in a new angular multiselectivity ...
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Vehicle Recognition based on Deep Convolution Neural Networks
... an image super resolution method based on deep learning and sparse representation [15], which is used to deal with the details of vehicle images, so as to improve the recognition of ...
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