Bidimensional Empirical Mode Decomposition-Based Diffusion Filtering for Image Denoising

S. V. Raghavendra Kommuri; Himanshu Singh; Anil Kumar; Varun Bajaj

doi:10.1007/s00034-020-01404-y

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Bidimensional Empirical Mode Decomposition-Based Diffusion Filtering for Image Denoising

S. V. Raghavendra Kommuri Himanshu Singh Anil Kumar Varun Bajaj

Year: 2020 Journal: Circuits Systems and Signal Processing Vol: 39 (10)Pages: 5127-5147 Publisher: Birkhäuser

DOI: 10.1007/s00034-020-01404-y

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Keywords:

Hilbert–Huang transform Noise reduction Image (mathematics) Noise (video) Mode (computer interface) Non-local means Diffusion Similarity (geometry) Function (biology) Algorithm Computer science Anisotropic diffusion Mathematics Decomposition Artificial intelligence Pattern recognition (psychology) Filter (signal processing) Image denoising Computer vision Physics

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Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Seismic Imaging and Inversion Techniques

Physical Sciences → Earth and Planetary Sciences → Geophysics

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Bidimensional Empirical Mode Decomposition-Based Diffusion Filtering for Image Denoising

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