Multiscale Image Non-Subsampled Contourlet Transform (NSCT) Toolbox

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Resource Overview

A MATLAB-based toolbox implementation for multiscale image analysis using Non-Subsampled Contourlet Transform (NSCT), featuring applications in image compression, segmentation, fusion, and super-resolution. The implementation includes directional filter banks and multiscale decomposition algorithms to capture image geometric structures without downsampling artifacts.

Detailed Documentation

This document introduces a comprehensive toolbox based on the Non-Subsampled Contourlet Transform (NSCT) for multiscale image analysis. The toolbox provides MATLAB-implemented algorithms featuring pyramid decomposition and directional filter banks that preserve translation invariance. Key functionalities include multiscale geometric analysis for applications such as image compression (using sparse coefficient representation), image segmentation (through directional texture feature extraction), image fusion (via multiscale coefficient combination), and super-resolution reconstruction. The implementation employs iterative filter designs and redundant transforms to capture directional details while maintaining image integrity, offering researchers enhanced capabilities for analyzing image characteristics and expanding image processing methodologies.

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