Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
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Updated
Jun 11, 2024 - Python
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
Official implementation of MSR-GCN (ICCV2021 paper)
Implementation of Image compression using DCT
SJTU CS386 Digital Image Processing
Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
Direct Numerical Simulation of Fluid Flow with IBM Using Python
Short-Time Discrete Cosine Transform (DCT) for Python. SciPy, TensorFlow and PyTorch implementations.
A rust implementation of spread spectrum watermarking for images.
Image compression using techniques like DCT transform and Huffman encoding and decoding.
🖼️ 🕵️ Forgery Detection on Images
PROTON - A Python Framework for Physics-Based Electromigration Assessment on Contemporary VLSI Power Grids
Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI
Watermarking on images using Discrete Cosine Transform and Haar Transform
Demo of Digital Watermarking in images
The program implements forward and inverse version of 2D Discrete Fourier Transform (FFT), Discrete Cosine Transform, Discrete Walsh-Hadamard Transform and Discrete Wavelets Transform (lifting scheme) in C/C++. The output of transforms is displayed for a given input image.
The Wearables Data Compression Toolbox is designed to share data compression algorithms that have been evaluated on wearables data.
Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.
Sliding 2D-DCT matrix (image) filter (TUT course project)
An exploration into methods of lossy image compression • WWDC 22 Swift Student Challenge Submission
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