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
Explore MATLAB source code curated for "DCT" with clean implementations, documentation, and examples.
Image watermarking algorithm based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT), featuring straightforward implementation with moderate performance results
This implementation demonstrates image compression using 8x8 block-based Discrete Cosine Transform (DCT) and reconstruction via Inverse DCT (IDCT): DCT serves as a separable transform for image compression encoding, while IDCT handles decompression. The process involves dividing images into blocks, applying mathematical transformations, and reconstructing with minimal quality loss.
MATLAB implementations of fundamental DSP functions including FFT, Chirp Z-transform, DCT, Delta Function, and Hilbert Transform with signal processing applications.
Graduation thesis project implementing a MATLAB-based digital image watermarking scheme combining DCT and DWT algorithms, featuring detailed program code and comprehensive algorithm analysis
MATLAB source code implementing DCT-based watermarking for grayscale images. Features blind watermark recovery without requiring the original uncorrupted image. Digital watermarking provides effective copyright protection and authentication solutions through embedded identification codes that trace document authorship, ownership, and distribution rights.
A graduation thesis on DCT-based digital watermarking, featuring comprehensive research on low-frequency DCT watermarking algorithms, mid-frequency DCT watermarking algorithms, and adaptive video watermarking schemes with MATLAB/Python implementation considerations.
Performing block partitioning, Discrete Cosine Transform (DCT), and quantization on test images, representing the quantized coefficients in matrix form, with implementation insights using key functions.
JPEG DCT baseline method partitions images into 8x8 pixel blocks, performs quantization, and applies entropy coding for efficient compression
Discrete Cosine Transform (DCT) - Mathematical Transformation for Signal Processing
This is the MATLAB source code developed for a research paper that implements a hybrid image compression algorithm combining Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Discrete Cosine Transform (DCT) methodologies.