Explore MATLAB source code curated for "压缩比" with clean implementations, documentation, and examples.
This method primarily utilizes wavelet transform for image compression and evaluates compression performance by calculating key metrics including compression ratio and signal-to-noise ratio (SNR) of the compressed image.
Image compression implementation using wavelet transform, featuring compression ratio analysis, execution time measurement, and PSNR calculation for reconstructed images with code structure explanations
The EZW algorithm in hyperspectral image compression achieves outstanding compression ratios through wavelet-based progressive coding and bit-plane encoding techniques
MATLAB simulation of image compression using 9/7 wavelet transform, demonstrating high compression ratios through experimental validation
Implementing grayscale image compression through DCT transformation, calculating compression ratios, and comparing images with different compression levels using MATLAB-based algorithms.
Implementation of contourlet-based image compression coding featuring PSNR calculation, compression ratio analysis, and runtime performance evaluation
Implementation of JPEG2000 encoding and decoding for monochrome images! Computes compression ratios and error metrics while analyzing differences between source and reconstructed images through MATLAB-based processing.