IEEE Trans Image Process - Design of low-complexity high-performance wavelet filters for image analysis.

Tópicos

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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

This paper addresses the construction of a family of wavelets based on halfband polynomials. An algorithm is proposed that ensures maximum zeros at = p for a desired length of analysis and synthesis filters. We start with the coefficients of the polynomial (x+1)(n) and then use a generalized matrix formulation method to construct the filter halfband polynomial. The designed wavelets are efficient and give acceptable levels of peak signal-to-noise ratio when used for image compression. Furthermore, these wavelets give satisfactory recognition rates when used for feature extraction. Simulation results show that the designed wavelets are effective and more efficient than the existing standard wavelets.

Resumo Limpo

paper address construct famili wavelet base halfband polynomi algorithm propos ensur maximum zero p desir length analysi synthesi filter start coeffici polynomi xn use general matrix formul method construct filter halfband polynomi design wavelet effici give accept level peak signaltonois ratio use imag compress furthermor wavelet give satisfactori recognit rate use featur extract simul result show design wavelet effect effici exist standard wavelet

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