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Hi IN3PIRE, while point processing techniques (like log, gamma, and contrast stretching) are useful for quick global enhancements, they often fall short in complex scenarios, like images with non-uniform lighting, low local contrast, or noise. In such cases, more advanced methods like: Histogram equalization or CLAHE (for better local contrast),Filtering techniques (like median or bilateral filters for denoising),Or even deep learning-based enhancement models (for tasks like low-light enhancement or super-resolution) tend to perform much better by taking into account spatial relationships and context beyond individual pixel values.