import matplotlib.pyplot as plt import numpy as np # Create a fake histogram (just a curve for demonstration) x = np.linspace(0, 1, 500) hist = np.exp(-((x-0.2)/0.1)**2) + 0.5*np.exp(-((x-0.6)/0.15)**2) fig, ax = plt.subplots(figsize=(8,5)) ax.plot(x, hist, color="black", lw=2) ax.set_title("GHS: Stretch Factor vs Local Stretch Factor", fontsize=14, weight="bold") ax.set_xlabel("Pixel Brightness (0=black, 1=white)") ax.set_ylabel("Frequency") # Mark a stretch point (SP) around 0.2 sp = 0.2 ax.axvline(sp, color="red", linestyle="--", lw=1.5) ax.text(sp, 1.4, "SP (Stretch Point)", color="red", ha="center", fontsize=10, weight="bold") # Add arrows showing effect of Stretch Factor (global) ax.annotate("Stretch Factor (SF)\nGlobal boost everywhere", xy=(0.6, hist.max()/2), xytext=(0.85, 1.3), arrowprops=dict(arrowstyle="->", lw=2, color="blue"), fontsize=10, color="blue", ha="center") # Add arrows showing effect of Local Stretch Factor (around SP) ax.annotate("Local Stretch Factor (LSF)\nBoost near SP", xy=(sp, hist.max()), xytext=(0.35, 1.3), arrowprops=dict(arrowstyle="->", lw=2, color="green"), fontsize=10, color="green", ha="center") plt.tight_layout() plt.show()