Implementation of different signal and image processing algorithms presented in books/papers
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Updated
Apr 2, 2024 - MATLAB
Implementation of different signal and image processing algorithms presented in books/papers
Homeworks from the Multimedia section of Computer Networks, Computer Engineering course at University of Padua
基于MatLab的数字图像处理demo
Reduction of spatial redundancy, still image, reduction of temporal redundancy, basic JPEG algorithm, Block Matching Algorithm
MATLAB Toolbox for digital signal processing using Weyl-Heisenberg bases.
Multi-focus image fusion in DCT domain based on correlation coefficient MATLAB Code
infrasonic acoustic/ elephant rumble detection using MFCC coefficients
The official codebase for the paper "Full band watermarking in DCT domain with Weibull model"
Digital watermark embedding and extraction using DCT and PN sequence
Steganography using Huffmann Coding and 2d - Block DCT
Signature verifier. It uses DCT to extract the signature's features and then classifies them using SVM.
Method to extract transient components in cerebral oxygenation signals [Matlab-code]
Hight-pass filter / Image compression / Stereo disparity / Corner detection
Remove noise from images using FFT/DCT
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.
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