Fourier analysis enhances image compression by transforming spatial images into the frequency domain, where energy is concentrated, allowing for significant compression by discarding less important frequency components. This is achieved by applying the Fast Fourier Transform (FFT) to convert the image, thresholding less significant coefficients, and then using the inverse FFT to reconstruct a smaller, high-fidelity image. This process effectively reduces data storage and transmission size without substantial loss of visual quality.
Article A comparison of application of Fourier Transform and Wavelet...