General Adaptive Neighborhood Choquet Image Filtering
Journal of Mathematical Imaging and Vision
IEEE Transactions on Image Processing
Parallelizing and optimizing LIP-canny using NVIDIA CUDA
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
The symmetric logarithmic image processing model
Digital Signal Processing
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The logarithmic image processing model (LIP) is a robust mathematical framework, which, among other benefits, behaves invariantly to illumination changes. This paper presents, for the first time, two general formulations of the 2-D convolution of separable kernels under the LIP paradigm. Although both formulations are mathematically equivalent, one of them has been designed avoiding the operations which are computationally expensive in current computers. Therefore, this fast LIP convolution method allows to obtain significant speedups and is more adequate for real-time processing. In order to support these statements, some experimental results are shown in Section V