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Full Description
Bilateral filtering is one of the most popular image processing techniques. The bilateral filter is a nonlinear process that can blur an image while respecting strong edges. Its ability to decompose an image into different scales without causing haloes after modification has made it ubiquitous in computational photography applications such as tone mapping, style transfer, relighting, and denoising.
Bilateral Filtering provides a graphical, intuitive introduction to bilateral filtering, a practical guide for efficient implementation, an overview of its numerous applications, as well as mathematical analysis. This broad and detailed overview covers theoretical and practical issues that will be useful to researchers and software developers.
Contents
1: Introduction 2: From Gaussian Convolution to Bilateral Filter 3: Applications 4: Efficient Implementation 5: Relationship between BF and Other Methods or Framework 6: Extensions of Bilateral Filtering 7: Conclusions. Acknowledgements. References