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The 3-Scale Haar Transform applied to the classic Lenna image serves as a foundational concept in image processing and analysis. This transformation aids in reducing data dimensionality while preserving essential features, enabling effective compression and noise reduction. By utilizing Haar wavelet coefficients, we can analyze and manipulate image details across different scales, offering insights into multi-resolution representations. This exploration of the Lenna image demonstrates the potential of Haar transforms in various applications, including computer vision, image recognition, and artistic effects.
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