Image Smoothing and Sharpening Techniques
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Resource Overview
This package provides implementations for image smoothing and sharpening, featuring multiple methods including mean filtering, median filtering, order-statistic filtering for smoothing, and Sobel operator along with high-pass filtering for sharpening, with detailed code explanations for each algorithm.
Detailed Documentation
This package contains multiple implementations for image smoothing and sharpening operations. Smoothing methods include mean filtering (implemented through neighborhood averaging to reduce noise), median filtering (effective for salt-and-pepper noise removal using pixel value ranking), and order-statistic filtering (employing percentile-based operations). Sharpening techniques feature Sobel operator implementation for edge detection using gradient calculations and high-pass filtering that enhances high-frequency components through frequency domain transformations. These algorithms process images to achieve smoother appearances and enhanced clarity, with each method including optimized code structures for efficient pixel-level operations.
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