Journal of Mathematical Imaging and Vision
Differentiation-Based Edge DetectionUsing the Logarithmic Image Processing Model
Journal of Mathematical Imaging and Vision
Background subtraction based on logarithmic intensities
Pattern Recognition Letters
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
EURASIP Journal on Applied Signal Processing
A Pseudo-logarithmic Image Processing Framework for Edge Detection
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
General Adaptive Neighborhood Choquet Image Filtering
Journal of Mathematical Imaging and Vision
IEEE Transactions on Image Processing
Logarithmic model-based dynamic range enhancement of hip X-ray images
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Designing a fast convolution under the LIP paradigm applied to edge detection
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Adaptive Shape Diagrams for Multiscale Morphometrical Image Analysis
Journal of Mathematical Imaging and Vision
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Describes a new implementation of Lee's (1980) image enhancement algorithm. This approach, based on the logarithmic image processing (LIP) model, can simultaneously enhance the overall contrast and the sharpness of an image. A normalized complement transform has been proposed to simplify the analysis and the implementation of the LIP model-based algorithms. This new implementation has been compared with histogram equalization and Lee's original algorithm