Image Enhancement Through Two-Dimensional Wavelet Decomposition

After undergoing two-dimensional wavelet decomposition, an image's contours reside in the low-frequency components while details manifest in the high-frequency components. By applying enhancement algorithms to low-frequency coefficients and attenuation processing to high-frequency coefficients, image quality can be significantly improved. Implementation typically involves wavelet transform functions like wavedec2() in MATLAB or PyWavelets in Python, followed by coefficient manipulation and image reconstruction.