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This project investigates the construction of the Haar wavelet, illustrating its effectiveness in image compression and noise reduction.
Wavelet theory has become a powerful mathematical tool for signal processing, image compression, and data analysis. Among wavelets, the Haar wavelet is the simplest and earliest, introduced by Alfréd Haar in 1910. This project explores the construction of the Haar wavelet, its mathematical formulation and properties, and its diverse applications in modern science and engineering. The study highlights its efficiency in representing signals, particularly in image compression and noise reduction.
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Ankit Kumar (2026) studied this question.
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