A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elements of information theory
Elements of information theory
International Journal of Computer Vision
The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
Similarity metric learning for a variable-kernel classifier
Neural Computation
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Issues in vision modeling for perceptual video quality assessment
Signal Processing
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Spatial Color Indexing and Applications
International Journal of Computer Vision
ACM Computing Surveys (CSUR)
Empirical evaluation of dissimilarity measures for color and texture
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of Intensity, Texture, and Color in Video Tracking Based on Mutual Information
AIPR '04 Proceedings of the 33rd Applied Imagery Pattern Recognition Workshop
Image Comparison by Compound Disjoint Information
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
ACM Computing Surveys (CSUR)
International Journal of Computer Vision
Cell population tracking and lineage construction with spatiotemporal context
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Adaptation for multiple cue integration
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Optimization of mutual information for multiresolution image registration
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
Local Mutual Information for Dissimilarity-Based Image Segmentation
Journal of Mathematical Imaging and Vision
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In this paper, we study (normalized) disjoint information as a metric for image comparison and its applications to perceptual image quality assessment, image registration, and video tracking. Disjoint information is the joint entropy of random variables excluding the mutual information. This measure of statistical dependence and information redundancy satisfies more rigorous metric conditions than mutual information, including self-similarity, minimality, symmetry and triangle inequality. It is applicable to two or more random variables, and can be computed by vector histogramming, vector Parzen window density approximation, and upper bound approximation involving fewer variables. We show such a theoretic advantage does have implications in practice. In the domain of digital image and video, multiple visual features are extracted and (normalized) compound disjoint information is derived from a set of marginal densities of the image distributions, thus enriching the vocabulary of content representation. The proposed metric matching functions are applied to several domain applications to demonstrate their efficacy.