Computing Watson's DCT Visual Model
Implementation of Watson's DCT visual model to calculate JND (Just Noticeable Difference) values for coefficients in each 8x8 block
MATLAB-Based Compressed Sensing with DCT, DWT, and DFT Orthogonal Bases
MATLAB-based compressed sensing implementation featuring DCT, DWT, DFT orthogonal bases and overcomplete dictionaries for sparse signal decomposition and reconstruction, including algorithm workflows and key function demonstrations
Performing DCT and DFT Transformations on an Image
Applying Discrete Cosine Transform (DCT) and Discrete Fourier Transform (DFT) to an image with analysis of high and low frequency component coefficients, including implementation approaches and key mathematical operations
Basic JPEG Compression Source Code
Basic JPEG compression source code implementation including DCT transformation, quantization, zigzag scanning and Huffman encoding. Ideal for digital image processing developers seeking to understand core compression algorithms.
DCT and Entropy Coding Source Code (MATLAB Simulation Implementation)
MATLAB simulation source code implementation for Discrete Cosine Transform (DCT) and entropy coding algorithms
Comparative Analysis of DCT and DWT Characteristics in Digital Image Watermarking Applications
Comparing the features of DCT and DWT in digital image watermarking applications with algorithm implementation insights and performance analysis.
MATLAB Implementation of Watermark Embedding Techniques
Comprehensive examples of watermark embedding using wavelet transforms, DCT, and LSB methods with detailed code implementation
Image Compression Using Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT)
Image compression implementation using DWT and DCT algorithms with code-level insights into frequency domain transformation techniques
Digital Watermark Embedding and Detection Using DCT and HVS
Implementation of digital watermark embedding and detection algorithm using DCT blocking and Human Visual System (HVS) characteristics, developed by Mao Li. This approach embeds watermarks into images through DCT coefficient modification and detects them using similarity comparison methods with enhanced visual perception considerations.
Image Encryption Combining DCT and Chaotic Systems
Image encryption through DCT and chaotic system integration, featuring slower processing speeds but valuable for educational implementation and algorithmic study