Grayscale Image Enhancement Using SMQT (Successive Mean Quantization Transform) Algorithm

MATLAB implementation based on a 2005 ICIP conference paper, including result visualization. This code applies the SMQT (Successive Mean Quantization Transform) algorithm for grayscale image enhancement. The key advantage over traditional methods like histogram equalization is its ability to preserve the histogram waveform shape while revealing underlying image structures and automatically enhancing details through intelligent quantization levels. The algorithm recursively divides pixel values based on mean thresholds to maintain tonal relationships.