JPEG Compression Implementation Using MATLAB
MATLAB code implementation for JPEG compression involving file reading, discrete cosine transformation, image visualization, and storage in JPG format with algorithm explanations
JPEG Compression Implementation Using MATLAB
A MATLAB-based JPEG compression program that processes grayscale BMP images and encodes them into binary (0101 format) compressed data. The implementation follows standard JPEG encoding pipeline: color space conversion from RGB to YCbCr, chroma subsampling exploiting human visual system's lower sensitivity to color variations, block-based Discrete Cosine Transform (DCT), quantization preserving low-frequency components, and entropy coding using Run-Length Encoding and Huffman coding for high compression ratios.
JPEG Image Compression with Signal-to-Noise Ratio Analysis
Implementing JPEG compression on images and calculating the output signal-to-noise ratio (SNR) to quantify image quality degradation.
Digital Watermark Image Attack Testing: Filtering, Cropping, Noise Addition, JPEG Compression and More
Digital watermark attack testing involves evaluating robustness through various methods including filtering, cropping, noise addition, JPEG compression, and other techniques. Implementation typically requires image processing algorithms and specific attack simulation functions.
MATLAB Implementation of JPEG Compression with Code Examples
MATLAB-based JPEG compression implementation featuring classic algorithm explanation and practical code demonstration
MATLAB Implementation of JPEG Compression with Uniform Quantization and Huffman Coding
MATLAB source code for JPEG compression featuring uniform quantization and Huffman encoding - a clear and comprehensive implementation for digital image processing
MATLAB Image Processing Fundamentals - Source Code Collection
MATLAB image processing foundational source codes including: 1) JPEG compression implementation, 2) Six fundamental image compression algorithms, 3) Wavelet transform applications with complete source code demonstrations.
An Algorithm for Information Hiding
An algorithm for information hiding implemented in MATLAB, including a suite of image processing functions for various attacks and transformations: mycompress.m for JPEG lossy compression, mycrop.m for image cropping, myhighpass.m for high-pass filtering, mylowpass.m for low-pass filtering, mynoise.m for Gaussian and salt-and-pepper noise addition, myresize.m for image scaling, myrotate.m for image rotation, mywiener.m for Wiener filtering, and myattack.m as a comprehensive collection of all the above attacks.
Understanding JPEG Compression Through Fractional Fourier Transform Implementation
This MATLAB source code demonstrates fractional Fourier transform implementation using matrix operators, providing insights into signal processing techniques relevant to compression algorithms. Note that MATLAB includes built-in DCT and iDCT functions that may offer better computational efficiency for certain applications.