SAR Image Filtering Mini-Tool for Image Enhancement

This is a small-scale filtering program specifically developed for SAR image processing with the primary objective of image enhancement. The program employs multiple filtering algorithms and image enhancement techniques to remove noise from images and significantly improve their overall quality. It finds applications across various domains including geological exploration, agricultural monitoring, and environmental observation. The implementation typically involves key functions such as adaptive filtering algorithms (like Lee or Frost filters) for speckle reduction, histogram equalization for contrast enhancement, and wavelet-based denoising methods. By utilizing this compact tool, users can efficiently process SAR images to obtain clearer and more accurate results, enabling better analysis and interpretation of image information. The code structure generally includes modules for image input/output operations, parameter configuration for different filter types, and visualization components for result comparison.