IEEE Trans Image Process - Blind adaptive sampling of images.

Tópicos

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Resumo

Adaptive sampling schemes choose different sampling masks for different images. Blind adaptive sampling schemes use the measurements that they obtain (without any additional or direct knowledge about the image) to wisely choose the next sample mask. In this paper, we present and discuss two blind adaptive sampling schemes. The first is a general scheme not restricted to a specific class of sampling functions. It is based on an underlying statistical model for the image, which is updated according to the available measurements. A second less general but more practical method uses the wavelet decomposition of an image. It estimates the magnitude of the unsampled wavelet coefficients and samples those with larger estimated magnitude first. Experimental results show the benefits of the proposed blind sampling schemes.

Resumo Limpo

adapt sampl scheme choos differ sampl mask differ imag blind adapt sampl scheme use measur obtain without addit direct knowledg imag wise choos next sampl mask paper present discuss two blind adapt sampl scheme first general scheme restrict specif class sampl function base under statist model imag updat accord avail measur second less general practic method use wavelet decomposit imag estim magnitud unsampl wavelet coeffici sampl larger estim magnitud first experiment result show benefit propos blind sampl scheme

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