C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
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Updated
Jan 16, 2025 - C
C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
Kaggle Data Science Bowl 2018
Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC
This repository embed the message into an Image using optimized DWT-DCT
TensorFlow implementation of descrete wavelets transforms
Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.
MATLAB program with GUI to watermark images
multi-focus image fusion using low-rank representation
Discrete wavelet transform based image watermarking approach along with chaotic map based encryption of watermarks
dwt for tensorflow 二维离散小波变换与反变换 2019-12-9
Multi-Sensor Image (infrared and visible) Fusion using deep learning framework, Principal Component Analysis, Discrete Wavelet Transform
Voice Alignment and Conversion with Neural Networks and the WORLD codec.
Multi-Sensor Image (infrared and visible) Fusion using deep learning framework, Principal Component Analysis, Discrete Wavelet Transform
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline
Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
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