Inversion of picture operators
Pattern Recognition Letters
Differentiation-Based Edge DetectionUsing the Logarithmic Image Processing Model
Journal of Mathematical Imaging and Vision
EURASIP Journal on Applied Signal Processing
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
A Pseudo-logarithmic Image Processing Framework for Edge Detection
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
IEEE Transactions on Image Processing
EURASIP Journal on Advances in Signal Processing - Special issue on theory and application of general linear image processing
Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Parameterized Logarithmic Framework for Image Enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonlinear color space and spatiotemporal MRF for hierarchical segmentation of face features in video
IEEE Transactions on Image Processing
High dynamic range image rendering with a retinex-based adaptive filter
IEEE Transactions on Image Processing
General Logarithmic Image Processing Convolution
IEEE Transactions on Image Processing
A Generalized Unsharp Masking Algorithm
IEEE Transactions on Image Processing
A Generalized Logarithmic Image Processing Model Based on the Gigavision Sensor Model
IEEE Transactions on Image Processing
Nonlinear Unsharp Masking for Mammogram Enhancement
IEEE Transactions on Information Technology in Biomedicine
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In this paper, a new extension of logarithmic image processing (LIP) model, called Symmetric Logarithmic Image Processing (SLIP), is proposed. Inspired by the previously developed symmetric models, the SLIP model defines a vector space on a symmetric bounded set. The development is aimed at (1) maintaining the physical interpretation of the LIP model and (2) solving the potential out-of-range problem which the LIP model has. The SLIP model is also able to deal with transmitted and reflected light images. The advantage of the SLIP is demonstrated through an image enhancement application using the generalized unsharp masking algorithm.