IEEE Trans Image Process - IMAGE resolution enhancement by using discrete and stationary wavelet decomposition.

Tópicos

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{ high(1669) rate(1365) level(1280) }
{ method(984) reconstruct(947) comput(926) }
{ network(2748) neural(1063) input(814) }
{ ehr(2073) health(1662) electron(1139) }
{ method(2212) result(1239) propos(1039) }
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{ result(1111) use(1088) new(759) }
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Resumo

In this correspondence, the authors propose an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the input image are interpolated. The estimated high frequency subbands are being modified by using high frequency subband obtained through SWT. Then all these subbands are combined to generate a new high resolution image by using inverse DWT (IDWT). The quantitative and visual results are showing the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.

Resumo Limpo

correspond author propos imag resolut enhanc techniqu base interpol high frequenc subband imag obtain discret wavelet transform dwt input imag edg enhanc introduc intermedi stage use stationari wavelet transform swt dwt appli order decompos input imag differ subband high frequenc subband well input imag interpol estim high frequenc subband modifi use high frequenc subband obtain swt subband combin generat new high resolut imag use invers dwt idwt quantit visual result show superior propos techniqu convent stateofart imag resolut enhanc techniqu

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