Image Wavelet Decomposition Using Haar Wavelet Implementation in MATLAB
A MATLAB implementation program for image wavelet decomposition using Haar wavelet, featuring multi-level decomposition capabilities and detailed coefficient extraction methods.
Three-Level Non-Standard Wavelet Decomposition and Reconstruction
Implementation of three-level non-standard wavelet decomposition and reconstruction using two wavelet types: Haar wavelet and db9 wavelet. The program performs 3-level wavelet decomposition and reconstruction on images. Using a personal photograph as the subject, the process demonstrates either wavelet's decomposition and reconstruction procedure. For Haar wavelet, reconstruction images are stored in PNG format with thresholds 0, 5, 10, and 20, with results recorded in an "Image Test Table". For db9 wavelet, reconstruction uses thresholds 0, 5, and 10, storing PNG images and populating the test table.
Image Enhancement Processing Using Haar Wavelet Transform
MATLAB-based image enhancement implementation using Haar wavelet transform, featuring forward/inverse wavelet transforms with decomposition and reconstruction source code. The algorithm processes image data through multi-level wavelet decomposition, applies enhancement techniques to wavelet coefficients, and reconstructs the enhanced image.