Wavelet image compression using universal coefficients matrix detail estimation

The paper represents a low complexity image compression algorithm by application of the two-dimensional discrete wavelet transform and the estimation of the detail matrices from the information matrix of the transformed image, using an adaptable RLS filter which estimates the detail matrices with universal coefficients. The reconstructed image is synthesized using the estimated detail matrices and information matrix provided by the wavelet transform.

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