Frost Filter Algorithm for Image Processing

Resource Overview

Implementation of Frost Filter for Noise Reduction in Digital Images

Detailed Documentation

The Frost filter code is utilized for noise removal in image processing applications. This widely-used filtering algorithm reduces noise impact by applying blurring operations to images. Key implementation steps involve selecting an appropriate kernel size and computing filtered results for each pixel through weighted averaging. In digital image processing, the Frost filter code finds extensive application in image quality enhancement and detail preservation tasks. The algorithm typically employs an exponential weighting function that adapts to local image statistics, making it particularly effective for speckle noise reduction in SAR (Synthetic Aperture Radar) imagery. Implementation commonly involves sliding window operations where each pixel's value is recalculated based on its neighborhood pixels using distance-weighted coefficients.