Add a watermark phrase to images. Project for ELEC 483: Digital Video Processing
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Updated
Apr 21, 2017 - TeX
Add a watermark phrase to images. Project for ELEC 483: Digital Video Processing
Discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. This project makes data compression with digital image
JPEG Encoder
EE 338 (Digital Signal Processing) - Application Assignment
DCT-based lossy image compression codec (similar to a JPEG codec)
The algorithm in this repository embeds data into DCT coefficient using genetic algorithm.
Steganography using Huffmann Coding and 2d - Block DCT
Extracting features using PCA, DCT, Centroid features and Auto encoder of 1 hidden-layer then classifying using K-means, GMM, SVM
Deals with Feature engineering and applying various Image Processing Techniques on the MNIST dataset.
Code for the attack multiplicative filter attack MUFIA, from the paper "Frequency-based vulnerability analysis of deep learning models against image corruptions".
Implementing Copy Move Forgery Detection using DCT or SVD transformations. Also, a clear explanation is provided in the READme section
Image Invisible Fingerprint/Watermark Library
Implementation and Performance Analysis of DCT Steganography Algorithm. Tests found that it has excellent imperceptibility (PSNR all above 40). When encountering noised images, the error rate of watermark extraction is low, indicating certain robustness. By introducing the scaling factor, the best embedding effect can be obtained for the specifi…
Optimize any image by chroma subsampling and optimized huffman coding in Python. Basically, using JPEG algorithm!
Implementation of Image compression using DCT
A python package for accessing the internal variables of JPEG file format such as DCT coefficients and quantization tables
Insanely fast JPEG/ JPG thumbnail scaling with the minimum fuss and CPU overhead. It makes use of libjpeg features of being able to load an image by only decoding the DCT coefficients needed to reconstruct an image of the size desired.
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