Image Compression Using Wavelet Transform with MATLAB Implementation
Implementing image compression with wavelet transforms, focusing on algorithm selection, compression ratio optimization, and MATLAB code implementation techniques
Image Compression: Techniques and Implementation Approaches
A comprehensive guide to image compression and decompression methods with practical code implementation insights
Image Compression Technology Based on Wavelet Transform with Implementation Considerations
A detailed exploration of wavelet transform-based image compression techniques, including algorithm breakdown and practical implementation approaches
ImageCompressionAndEncryption-master: Hybrid Compression and Encryption Technique Using Circulant Matrix Control
In the multimedia-driven information era, image security has become paramount as image value depends on contained information. This project implements compressive sensing-based encryption with key-controlled circulant matrices, dividing images into blocks for simultaneous compression and encryption through randomized pixel scrambling, addressing traditional key distribution and efficiency challenges.
Image Compression using Singular Value Decomposition (SVD) Method
Implementing image compression with Singular Value Decomposition (SVD) - a mathematical approach that reduces storage requirements while preserving visual quality through matrix factorization.
Vector Quantization Codebook Design Based on the LBG Algorithm
Implementation of LBG Algorithm for Vector Quantization Codebook Generation with MATLAB Optimization Techniques
Application of BP Neural Networks in Image Compression
Implementation of Backpropagation Neural Networks for Image Compression with Technical and Code-Level Insights
Example Illustrating the LBG Algorithm with Implementation Insights
Example Demonstrating the LBG Algorithm with Code-Related Explanations