DCT Transform Coding Based on 8x8 Blocks for Image Processing
Implementation of 8x8 Block-Based DCT Transform Coding in MATLAB Programming Environment
Data Redundancy Removal Using DCT Transform
1. First, implement Discrete Cosine Transform (DCT) to eliminate data redundancy through frequency domain conversion; 2. Quantize DCT coefficients using predefined quantization tables with adjustable compression ratios; 3. Apply Huffman encoding to quantized coefficients for entropy reduction. The complete implementation consists of a main program coordinating two subroutines: DCT Quantization and Huffman Encoding modules.
DCT Transformation on AR Face Database with Fisher Discriminant Analysis and Cosine Classifier
This implementation applies Discrete Cosine Transform (DCT) to the AR face database, followed by feature extraction using Fisher Discriminant Analysis, and concludes with face classification using a cosine similarity classifier. The process involves converting facial images to frequency domain representation, selecting discriminative features, and performing efficient classification through cosine distance measurement.
Image Compression Experiment on Raw Grayscale Image Lena_gray.bmp Using 8×8 DCT Transform
This experiment performs image compression on the raw grayscale image Lena_gray.bmp by applying 8×8 DCT transformation. We compare results after keeping only the DC coefficient, and retaining the first 4, 8, and 16 transform coefficients (DC+AC) followed by IDCT reconstruction. Implementation can be achieved using MATLAB's Image Processing Toolbox functions with appropriate block processing and coefficient thresholding techniques.
MATLAB Code Implementation of DCT Transformation
MATLAB source code for Discrete Cosine Transform (DCT) implementation, suitable as a preprocessing method for feature extraction applications with efficient matrix computation capabilities.
MATLAB Implementation of Discrete Cosine Transform (DCT)
MATLAB code for Discrete Cosine Transform implementation with detailed algorithm explanation and practical usage guidelines for signal processing applications.
Image Denoising Program Using Wavelet and DCT Transforms
Implementation of image denoising using wavelet transform and DCT transform with practical examples and validation results
Content Authentication Semi-Fragile Watermarking Algorithm
Content Authentication Semi-Fragile Watermarking Algorithm with DCT-Based Implementation