JOURNAL ARTICLE
Image denoising using discrete wavelet transform and edge information
Abstract
A method of image denoising based on discrete wavelet transform and edge information is proposed, assuming white noise model. The method allows better edge preserving in digital images during filtration. The method has low computational complexity.
Keywords:
Artificial intelligence Discrete wavelet transform Noise reduction Wavelet transform Image denoising Enhanced Data Rates for GSM Evolution Computer science Computer vision Pattern recognition (psychology) Wavelet Stationary wavelet transform Noise (video) Harmonic wavelet transform Video denoising White noise Edge detection Wavelet packet decomposition Second-generation wavelet transform Image (mathematics) Image processing Video processing Telecommunications
Metrics
31
Cited By
2.17
FWCI (Field Weighted Citation Impact)
6
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Image and Signal Denoising Methods
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences → Engineering → Media Technology
Medical Image Segmentation Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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