Super-Resolution Imaging: Analysis, Algorithms, and Applications

Improving a Single Down-Sampled Image Using Probability-Filtering-Based Interpolation and Improved Poisson Maximum A Posteriori Super-Resolution

We present a novel hybrid scheme called "hyper-resolution" that integrates image probability-filtering-based interpolation and improved Poisson maximum a posteriori (MAP) super-resolution to respectively enhan...

Authors: Min-Cheng Pan

Super-Resolution Imaging: Analysis, Algorithms, and Applications

Authors: Michael Ng, Tony Chan, Moon Gi Kang and Peyman Milanfar

Application of Super-Resolution Image Reconstruction to Digital Holography

We describe a new application of super-resolution image reconstruction to digital holography which is a technique for three-dimensional information recording and reconstruction. Digital holography has suffered...

Authors: Shuqun Zhang

Low-Cost Super-Resolution Algorithms Implementation Over a HW/SW Video Compression Platform

Two approaches are presented in this paper to improve the quality of digital images over the sensor resolution using super-resolution techniques: iterative super-resolution (ISR) and noniterative super-resolut...

Authors: Gustavo M. Callicó, Rafael Peset Llopis, Sebastian López, José Fco López, Antonio Núñez, Ramanathan Sethuraman and Roberto Sarmiento

Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution

We present a novel algorithm for image fusion from irregularly sampled data. The method is based on the framework of normalized convolution (NC), in which the local signal is approximated through a projection ...

Authors: Tuan Q. Pham, Lucas J. van Vliet and Klamer Schutte

Single-Frame Image Super-resolution through Contourlet Learning

We propose a learning-based, single-image super-resolution reconstruction technique using the contourlet transform, which is capable of capturing the smoothness along contours making use of directional decompo...

Authors: CV Jiji and Subhasis Chaudhuri

Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid

According to recent advances in digital image processing techniques, interest in high-quality images has been increased. This paper presents a resolution enhancement (RE) algorithm based on the pyramid structu...

Authors: Bo-Won Jeon, Rae-Hong Park and Seungjoon Yang

A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution

Super-resolution algorithms reconstruct a high-resolution image from a set of low-resolution images of a scene. Precise alignment of the input images is an essential part of such algorithms. If the low-resolut...

Authors: Patrick Vandewalle, Sabine Süsstrunk and Martin Vetterli

Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences

We address the dynamic super-resolution (SR) problem of reconstructing a high-quality set of monochromatic or color super-resolved images from low-quality monochromatic, color, or mosaiced frames. Our approach...

Authors: Sina Farsiu, Michael Elad and Peyman Milanfar

Subpixel Registration Directly from the Phase Difference

This paper proposes a new approach to subpixel registration, under local/global shifts or rotation, using the phase-difference matrix. We establish the exact relationship between the continuous and the discret...

Authors: Murat Balci and Hassan Foroosh

Super-Resolution for Synthetic Zooming

Optical zooming is an important feature of imaging systems. In this paper, we investigate a low-cost signal processing alternative to optical zooming—synthetic zooming by super-resolution (SR) techniques. Synt...

Authors: Xin Li

Learning-Based Nonparametric Image Super-Resolution

We present a novel learning-based framework for zooming and recognizing images of digits obtained from vehicle registration plates, which have been blurred using an unknown kernel. We model the image as an und...

Authors: Shyamsundar Rajaram, Mithun Das Gupta, Nemanja Petrovic and Thomas S. Huang

Adaptive Outlier Rejection in Image Super-resolution

One critical aspect to achieve efficient implementations of image super-resolution is the need for accurate subpixel registration of the input images. The overall performance of super-resolution algorithms is ...

Authors: Mejdi Trimeche, Radu Ciprian Bilcu and Jukka Yrjänäinen

Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework

This paper presents a new method for super-resolution (SR) reconstruction of a high-resolution (HR) image from several low-resolution (LR) images. The HR image is assumed to be composed of homogeneous regions....

Authors: Fabrice Humblot and Ali Mohammad-Djafari

A Fast Algorithm for Image Super-Resolution from Blurred Observations

We study the problem of reconstruction of a high-resolution image from several blurred low-resolution image frames. The image frames consist of blurred, decimated, and noisy versions of a high-resolution image...

Authors: Nirmal K Bose, Michael K Ng and Andy C Yau

Adaptive Markov Random Fields for Example-Based Super-resolution of Faces

Image enhancement of low-resolution images can be done through methods such as interpolation, super-resolution using multiple video frames, and example-based super-resolution. Example-based super-resolution, i...

Authors: Todd A Stephenson and Tsuhan Chen

A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images

Most of the available digital color cameras use a single image sensor with a color filter array (CFA) in acquiring an image. In order to produce a visible color image, a demosaicing process must be applied, wh...

Authors: Miguel Vega, Rafael Molina and Aggelos K Katsaggelos