Analysis of multiframe super-resolution reconstruction for image anti-aliasing and deblurring

Authors:
Zhaozhong Wang;Feihu Qi
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China
Venue:
Image and Vision Computing
Year:
2005

Citing 16
Cited 3

The discrete picard condition of discrete ill-posed problems

BIT
Improved resolution from subpixel shifted pictures

CVGIP: Graphical Models and Image Processing
Digital video processing

Digital video processing
Super-Resolution Reconstruction of Image Sequences

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Restoration

Digital Image Restoration
Limits on Super-Resolution and How to Break Them

IEEE Transactions on Pattern Analysis and Machine Intelligence
Is Super-Resolution with Optical Flow Feasible?

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Simultaneous Estimation of Super-Resolved Scene and Depth Map from Low Resolution Defocused Observations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction of high-resolution frames from video sequences

IEEE Transactions on Image Processing
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time

IEEE Transactions on Image Processing
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images

IEEE Transactions on Image Processing
Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images

IEEE Transactions on Image Processing
Artifact reduction for set theoretic super resolution image reconstruction with edge adaptive constraints and higher-order interpolants

IEEE Transactions on Image Processing
A computationally efficient superresolution image reconstruction algorithm

IEEE Transactions on Image Processing
High resolution image formation from low resolution frames using Delaunay triangulation

IEEE Transactions on Image Processing

Storage-efficient quasi-Newton algorithms for image super-resolution

DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Performance of reconstruction-based super-resolution with regularization

Journal of Visual Communication and Image Representation
Variational method for super-resolution optical flow

Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Novel theoretical results for the super-resolution reconstruction (SRR) are presented under the case of arbitrary image warping. The SRR model is reasonably separated into two parts of anti-aliasing and deblurring. The anti-aliasing part is proved to be well-posed. The ill-posedness of the entire SRR process is shown to be mainly caused by the deblurring part. The motion estimation error results in a multiplicative perturbation to the warping matrix, and the perturbation bound is derived. The common regularization algorithms used in SRR are analyzed through the discrete Picard condition, which provides a theoretical measure for limits on SRR. Experiments and examples are supplied to validate the presented theories.