نتایج جستجو برای: image super resolution

تعداد نتایج: 649123  

2010
Bill Freeman

Suppose we want to digitally enlarge a photograph. The input is a single, low-resolution image, and the desired output is an estimate of the high-resolution version of that image. This problem can be phrased as one of “image interpolation”: we seek to interpolate the pixel values between our observed samples. Image interpolation is sometimes called super-resolution, since we are estimating data...

2017
T. Komatsu K. Aizawa T. Igarashi Sung Cheol Park Min Kyu Park Thomas M Lehman Einar Maeland Rafael C. Gonzalez Richard E. Woods Sina Farsiu Dirk Robinson Michael Elad Peyman Milanfar Patrick Vandewalle L Sbaiz J Vandewalle Frank M. Candocia Jose C. Principe Olcay Kursun

The super resolution means the quality of the image to the extent of the maximum capability of the technology referring it. The image capturing devices have their hardware limitations to reach to the perfection. A technique for Reconstruction of super resolution image using low resolution natural color image has been developed. The presented technique identifies local features of 1 / 4

2012
Zahra Ashouri

In this thesis we present new methods for image and video super resolution and video deinterlacing. For image super resolution a new approach for finding a High Resolution (HR) image from a single Low Resolution (LR) image has been introduced. We have done this by employing Compressive Sensing (CS) theory. In CS framework images are assumed to be sparse in a transform domain such as wavelets or...

2002
Wenyi Zhao Harpreet S. Sawhney

Reconstruction-based super-resolution frommotion video has been an active area of study in computer vision and video analysis. Image alignment is a key component of super-resolution algorithms. Almost all previous super-resolution algorithms have assumed that standard methods of image alignment can provide accurate enough alignment for creating super-resolution images. However, a systematic stu...

2010
N. Hema Rajini

This paper aims to make the super-resolution of a high-resolution image from a sequence of low-resolution frames containing non-stationary objects. The challenges of making super-resolution image, like unavoidable smoothing effects, introduction of artifacts, computational efficiency in time and computational efficiency in memory requirements, are considered and a novel method is proposed to so...

Journal: :Neurocomputing 2016
Yi Tang Hong Chen Zhanwen Liu Biqin Song Qi Wang

A novel image patch based example-based super-resolution algorithm is proposed for benefitting from social image data. The proposed algorithm is designed based on matrix-value operator learning techniques where the image patches are understood as the matrices and the single-image super-resolution is treated as a problem of learning a matrix-value operator. Taking advantage of the matrix trick, ...

Journal: :Sig. Proc.: Image Comm. 2013
Michalis Vrigkas Christophoros Nikou Lisimachos P. Kondi

The accuracy of image registration plays a dominant role in image superresolution methods and in the related literature, landmark-based registration methods have gained increasing acceptance in this framework. In this work, we take advantage of a maximum a posteriori (MAP) scheme for image super-resolution in conjunction with the maximization of mutual information to improve image registration ...

2007
Sune Høgild Keller François Lauze Mads Nielsen

In this paper we present a variational, spatiotemporal video super resolution scheme that produces not just one but n high resolution video frames from an n frame low resolution video sequence. We use a generic prior and the output is artifact-free, sharp and superior in quality to state of the art home cinema video processors. Unlike many other super resolution schemes, ours does not limit its...

Journal: :CoRR 2015
Chao Dong Ximei Zhu Yubin Deng Chen Change Loy Yu Qiao

Text image super-resolution is a challenging yet open research problem in the computer vision community. In particular, low-resolution images hamper the performance of typical optical character recognition (OCR) systems. In this article, we summarize our entry to the ICDAR2015 Competition on Text Image Super-Resolution. Experiments are based on the provided ICDAR2015 TextSR dataset [3] and the ...

2015
Qiang Yang HuaJun Wang Xuegang Luo

Image super resolution reconstruction has important significance in remote sensing image feature extraction and classification etc.. Because the remote sensing image size is larger, it is difficult to super resolution reconstruction using multiple images, the compressed sensing (CS) theory was introduced into the super-resolution reconstruction. Algorithm designed the low pass filter to reduce ...

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