Image Compression
MATLAB Image Compression with Implementation Examples
Explore MATLAB source code curated for "图像压缩" with clean implementations, documentation, and examples.
MATLAB Image Compression with Implementation Examples
MATLAB simulation for computing matrix SVD decomposition through various approaches, utilizing SVD for solving least squares problems and implementing image compression
A MATLAB-implemented wavelet SOFM image compression algorithm available for download on MATLAB's official website, offering significant reference value for researchers and developers working with neural network-based compression techniques.
Implementation of DCT-based image compression techniques with separate approaches for grayscale and true-color images, including code implementation details and compression performance analysis.
This program implements single-stage image compression using wavelet transform, with implementation details including multi-level decomposition and quantization techniques.
This comprehensive image processing program demonstrates techniques for compression, denoising, enhancement and sharpening. Implementation includes: displaying digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform (DCT), contrast enhancement via grayscale transformation, salt-and-pepper noise removal using medfilt2 2D median filtering, mean filtering with filter2 for noise reduction, adaptive Wiener filtering, five distinct gradient enhancement methods for sharpening, high-pass filtering with mask processing, Butterworth low-pass filter for image smoothing, and Butterworth high-pass filter for sharpening operations.
Implementation of image compression algorithms using MATLAB, including complete source code for various compression techniques such as Huffman coding, arithmetic coding, DCT transformation, wavelet transforms, and more. The codebase provides practical implementations with detailed comments and algorithm explanations.
Provides MATLAB source code with on-machine debugging, enabling wavelet transform-based secondary compression of images through multi-level decomposition and threshold processing algorithms.
Implementation of JPEG-based image compression algorithm, suitable for academic projects and graduation designs with practical applicability
Implementing LBG algorithm for image compression with histogram display and analysis