Homeworks from the Multimedia section of Computer Networks, Computer Engineering course at University of Padua
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Updated
Jun 15, 2024 - MATLAB
Homeworks from the Multimedia section of Computer Networks, Computer Engineering course at University of Padua
Implementation of different signal and image processing algorithms presented in books/papers
Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
Hight-pass filter / Image compression / Stereo disparity / Corner detection
基于MatLab的数字图像处理demo
Digital watermark embedding and extraction using DCT and PN sequence
MATLAB Toolbox for digital signal processing using Weyl-Heisenberg bases.
A technique for embedding one mark or image within another using Entropy as a discriminant to identify the most strategic points of the image, DCT and DWT transforms are also used for insertion, the method is designed to be robust against jpeg compressions.
Method to extract transient components in cerebral oxygenation signals [Matlab-code]
Steganography using Huffmann Coding and 2d - Block DCT
infrasonic acoustic/ elephant rumble detection using MFCC coefficients
Signature verifier. It uses DCT to extract the signature's features and then classifies them using SVM.
The official codebase for the paper "Full band watermarking in DCT domain with Weibull model"
This repository embed the message into an Image using optimized DWT-DCT
Fast Algorithm for the 3-D DCT and its video compression application
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