MATLAB (DCT+DWT) Digital Image Watermarking Implementation
Graduate thesis on digital image watermarking using combined DCT and DWT algorithms in MATLAB, featuring detailed implementation code and performance analysis
Color Image Watermarking Using DCT and DWT with Implementation Insights
Implementation of color image watermarking through Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with embedded algorithm explanations
Watermark GUI Implementation Using Discrete Wavelet Transform (DWT)
This graphical user interface enables digital watermarking operations on images through DWT/IDWT transformations. Users can batch process image folders with single-click functionality, embedding watermarks in frequency-domain images while automatically calculating PSNR and MSE metrics for extraction quality assessment.
Calculation of Peak Signal-to-Noise Ratio (PSNR) for Two Images with Normalization Coefficients and DWT-Based Digital Watermark Embedding
Implementation of PSNR calculation formula for image quality assessment, normalization coefficient computation, and discrete wavelet transform (DWT) based digital watermark embedding algorithm
Implementation of Image Digital Watermarking Embedding and Extraction Using DWT
MATLAB program for image digital watermarking embedding and extraction using Discrete Wavelet Transform (DWT), including watermark image and original image files, with robust frequency-domain processing capabilities.
DWT, SWT, and Enhanced IDWT for Image Resolution Improvement
This project implements comprehensive image resolution enhancement through Discrete Wavelet Transform (DWT), Stationary Wavelet Transform (SWT), and an optimized Inverse Discrete Wavelet Transform (IDWT) approach.
Digital Image Watermarking Scheme Based on DCT and DWT Algorithms
Graduation thesis on digital image watermarking schemes featuring DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform) algorithms with detailed MATLAB/Python implementation code and technical analysis.
Digital Watermarking Algorithms Based on DCT, DFT, DWT with Scrambling Techniques
Implementation of watermarking algorithms utilizing Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT), and Discrete Wavelet Transform (DWT), including scrambled watermarking techniques for robust image processing applications.
Image Watermarking Algorithm Using DWT and DCT
Image watermarking algorithm based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT), featuring straightforward implementation with moderate performance results
Novel Digital Image Watermarking Algorithm Combining Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD)
A new digital image watermarking algorithm is proposed that integrates Discrete Wavelet Transform (DWT) with Singular Value Decomposition (SVD). The algorithm performs wavelet decomposition on the original image, partitions the low-frequency subband obtained from decomposition, and applies SVD to each block. The largest singular value from each block is selected to embed Arnold-scrambled watermark information through quantization.