Super-resolution image reconstruction: a technical overview

Park, Sung Cheol; Park, Min Kyu; Kang, Moon Gi

doi:10.1109/msp.2003.1203207

Cited by 2,711 publications

(296 citation statements)

References 76 publications

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“…In the future, it is interesting to investigate how to solve this problem more efficiently, and extend the algorithm to deal with more generic motion parameters including rotation [7]. It is also interesting to apply the algorithm to satellite imaging [8] and microscopy imaging [9], for example.…”

Section: Resultsmentioning

confidence: 99%

Super-resolution from unregistered aliased images with unknown scalings and shifts

Peng

Feng

Dai

et al. 2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We consider the problem of super-resolution from unregistered aliased images with unknown spatial scaling factors and shifts. Due to the limitation of pixel size in the image sensor, the sampling rate for each image is lower than the Nyquist rate of the scene. Thus, we have aliasing in captured images, which makes it hard to register the low-resolution images and then generate a high-resolution image. To work out this problem, we formulate it as a multichannel sampling and reconstruction problem with unknown parameters, spatial scaling factors and shifts. We can estimate the unknown parameters and then reconstruct the high-resolution image by solving a nonlinear least square problem using the variable projection method. Experiments with synthesized 1-D signals and 2-D images show the effectiveness of the proposed algorithm.

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Section: Resultsmentioning

confidence: 99%

Super-resolution from unregistered aliased images with unknown scalings and shifts

Peng

Feng

Dai

et al. 2012

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…These three image pixels can then be added to produce a high resolution image with increase in size of the image (right side-single image)) [1].…”

Section: Image Super Resolutionmentioning

confidence: 99%

A Survey on Various Techniques of Super Resolution Imaging

Macwan¹,

Patel²,

Prajapati³

et al. 2014

IJCA

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Resolution plays a major role for interpretation and analysis of an image. Super Resolution is a technique to enhance the resolution of an image from single or multiple low resolved images, which gives detailed information present in an image. In this paper, we describe several methods for Super Resolution (SR) that enhances the quality of an image. Mainly the methods are divided into frequency domain and spatial domains. Here, we stated comparison of different approaches, challenges and issues for SR and applications of SR in practical world e.g. in medical imaging, satellite imaging, and forensics.

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“…This step can be performed using the SR procedures that generate the HR images from one or several LR images/video frames. Thus, SR restoration technology is a popular research topic in computer vision applications [3].…”

Section: Introductionmentioning

confidence: 99%