Joint spatial-temporal color demosaicking

Authors:
Xiaolin Wu;Lei Zhang
Affiliations:
Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada;Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

Citing 15
Cited 0

Fundamentals of statistical signal processing: estimation theory

Fundamentals of statistical signal processing: estimation theory
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation

Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
Adaptive demosaicing with the principal vector method

IEEE Transactions on Consumer Electronics
A novel cost effective demosaicing approach

IEEE Transactions on Consumer Electronics
Normalized color-ratio modeling for CFA interpolation

IEEE Transactions on Consumer Electronics
Extraction of high-resolution frames from video sequences

IEEE Transactions on Image Processing
Demosaicing: image reconstruction from color CCD samples

IEEE Transactions on Image Processing
Resolution enhancement of monochrome and color video using motion compensation

IEEE Transactions on Image Processing
Mathematics for demosaicking

IEEE Transactions on Image Processing
Color plane interpolation using alternating projections

IEEE Transactions on Image Processing
Color filter array demosaicking: new method and performance measures

IEEE Transactions on Image Processing
Primary-consistent soft-decision color demosaicking for digital cameras (patent pending)

IEEE Transactions on Image Processing
Adaptive homogeneity-directed demosaicing algorithm

IEEE Transactions on Image Processing
Color demosaicking via directional linear minimum mean square-error estimation

IEEE Transactions on Image Processing
Effective color interpolation in CCD color filter arrays using signal correlation

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Demosaicking of the color CCD data is a key to the image quality of digital still and video cameras. Limited by the Nyquist frequency of the color filter array (CFA), color artifacts often accompany high frequency contents in the reconstructed images. This paper presents a general approach of joint spatial-temporal color demosaicking that exploits all three forms of sample correlations: spatial, spectral, and temporal. By motion estimation and statistical data fusion between multiple estimates obtained from adjacent mosaic frames, the new approach can significantly outperform the existing spatial color demosaicking techniques both in objective measure and subjective visual quality.