Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Inversion of picture operators
Pattern Recognition Letters
Fundamentals of digital image processing
Fundamentals of digital image processing
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital signal processing: efficient convolution and Fourier transform techniques
Digital signal processing: efficient convolution and Fourier transform techniques
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Journal of Mathematical Imaging and Vision
A cubic unsharp masking technique for contrast enhancement
Signal Processing
Digital Image Processing
Guest Introduction: The Changing Shape of Computer Vision in the Twenty-First Century
International Journal of Computer Vision
Hierarchical Decomposition and Axial Shape Description
IEEE Transactions on Pattern Analysis and Machine Intelligence
Background subtraction based on logarithmic intensities
Pattern Recognition Letters
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
A local model of eye adaptation for high dynamic range images
AFRIGRAPH '04 Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
On the foundations of vision modeling II. Mining of mirror symmetry of 2-D shapes
Journal of Visual Communication and Image Representation
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
Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids
IEEE Transactions on Image Processing
Nonlinear color space and spatiotemporal MRF for hierarchical segmentation of face features in video
IEEE Transactions on Image Processing
An adaptive Gaussian model for satellite image deblurring
IEEE Transactions on Image Processing
Nonlinear image representation for efficient perceptual coding
IEEE Transactions on Image Processing
The study of logarithmic image processing model and its application to image enhancement
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Context-based defading of archive photographs
Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
Robotics and Autonomous Systems
General adaptive neighborhood viscous mathematical morphology
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
General Adaptive Neighborhood-Based Pretopological Image Filtering
Journal of Mathematical Imaging and Vision
The symmetric logarithmic image processing model
Digital Signal Processing
Adaptive Shape Diagrams for Multiscale Morphometrical Image Analysis
Journal of Mathematical Imaging and Vision
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A new framework for image representation, processing, and analysis is introduced and exposed through practical applications. The proposed approach is called logarithmic adaptive neighborhood image processing (LANIP) since it is based on the logarithmic image processing (LIP) and on the general adaptive neighborhood image processing (GANIP) approaches, that allow several intensity and spatial properties of the human brightness perception to be mathematically modeled and operationalized, and computationally implemented. The LANIP approach is mathematically, computationally, and practically relevant and is particularly connected to several human visual laws and characteristics such as: intensity range inversion, saturation characteristic, Webers and Fechners laws, psychophysical contrast, spatial adaptivity, multiscale adaptivity, morphological symmetry property. The LANIP approach is finally exposed in several areas: image multiscale decomposition, image restoration, image segmentation, and image enhancement, through biomedical materials and visual imaging applications.