SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
ACM SIGGRAPH 2003 Papers
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
Flash photography enhancement via intrinsic relighting
ACM SIGGRAPH 2004 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Geometric Hashing with Local Affine Frames
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
An efficient illumination normalization method for face recognition
Pattern Recognition Letters
A frequency domain approach to registration of aliased images with application to super-resolution
EURASIP Journal on Applied Signal Processing
Linear Time Maximally Stable Extremal Regions
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
2D image registration using focused mutual information for application in dentistry
Computers in Biology and Medicine
Normalized mutual information feature selection
IEEE Transactions on Neural Networks
Low-light imaging solutions for mobile devices
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
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Flash-no-flash imaging aims to combine ambient light images with details available in flash images. Flash can alter color intensities radically leading to changes in gradient directions and strengths, as well as natural shadows possibly being removed and new ones created. This makes flash-no-flash image pair alignment a challenging problem. In this paper, we present a new image registration method utilizing mutual information driven point matching accuracy refinement. For a phase correlation based method, accuracy improvement through the suggested point refinement was over 40 %. The new method also performed better than the reference methods SIFT and SURF by 3.0 and 9.1 % respectively in alignment accuracy. Visual inspection also confirmed that in several cases the proposed method succeeded in registering flash-no-flash image pairs where the tested reference methods failed.