
The discrete wavelet transform (DWT) has gained a wide acceptance in denoising and compression coding of images and signals. In this work we introduce a discrete lattice wavelet transform (DLWT). In the analysis part, the lattice structure contains two parallel transmission channels, which exchange information via two crossed lattice filters. For the synthesis part we show that the similar lattice structure yields a perfect reconstruction (PR) property. The PR condition can be used to design half-band filters, which effectively eliminate aliasing in decimated tree structured wavelet transform. The DLWT can be implemented directly to any of the existing DWT algorithms
lattice structure, parallel transmission channels, perfect reconstruction property, signal denoising, image denoising, QMF, discrete wavelet transforms, quadrature mirror filters, FIR filters, finite-impulse response filters, filtering theory, lattice filters, image coding, data compression
lattice structure, parallel transmission channels, perfect reconstruction property, signal denoising, image denoising, QMF, discrete wavelet transforms, quadrature mirror filters, FIR filters, finite-impulse response filters, filtering theory, lattice filters, image coding, data compression
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