Medical Image Enhancement Algorithm Based on Multi-Scale Retinex (MSR) Approach

This medical image enhancement algorithm based on multi-scale retinex (MSR) methodology effectively improves low-contrast medical images. The algorithm operates by processing input images through multiple Gaussian scales to simultaneously enhance dynamic range compression and color consistency. Through systematic parameter tuning involving scale weights, Gaussian kernel sizes, and gain/offset adjustments, it generates superior enhancement results. The implementation typically involves three key processing stages: single-scale retinex computation at different resolutions, weighted combination of scale outputs, and color restoration post-processing. This significantly improves image visualization quality by enhancing local contrast while preserving global appearance characteristics. The core algorithm can be implemented using convolution operations with Gaussian filters of varying standard deviations, followed by logarithmic domain processing and normalization steps to maintain natural image appearance.