초록 ▼

A method of processing a sampled input image having pixels which can have missing information at pixel locations to reconstruct an output image therefrom, including providing a mask for the sampled image to identify valid pixel locations; interpolating by convolution with at least one finite impulse

A method of processing a sampled input image having pixels which can have missing information at pixel locations to reconstruct an output image therefrom, including providing a mask for the sampled image to identify valid pixel locations; interpolating by convolution with at least one finite impulse response (FIR) filter(s) applied to the information at valid pixel locations to produce reconstructed information for non-valid pixel locations; and adaptively normalizing the reconstructed information for the non-valid pixel locations produced by applying the FIR filter(s) to the mask so that the valid pixels and the reconstructed information at non-valid pixel locations provide a reconstructed image.

대표청구항 ▼

[ What is claimed is:] [1.] A method of processing a sampled input image having pixels which can have missing information at pixel locations to reconstruct an output image therefrom, comprising the steps of:a) providing a mask for the sampled image to identify valid and non-valid pixel locations;b)

[ What is claimed is:] [1.] A method of processing a sampled input image having pixels which can have missing information at pixel locations to reconstruct an output image therefrom, comprising the steps of:a) providing a mask for the sampled image to identify valid and non-valid pixel locations;b) interpolating by convolution with at least one finite impulse response (FIR) filter(s) applied to the information at valid pixel locations to produce reconstructed information for non-valid pixel locations; and(c) adaptively normalizing the reconstructed information for the non-valid pixel locations produced by applying the FIR filter(s) to the mask so that the valid pixels and the reconstructed information at non-valid pixel locations provide a reconstructed image, wherein the reconstructed image, G(i,j), is defined by: ]EQU8 ]whereF(i,j) is the sampled input image;M(i,j) is a binary mask indicating the location of the image samples, where M(i,j)=1, Otherwise, M(i,j)=0,K(a,b) is an FIR filter;N(i,j) is the adaptive normalization which is given by: ]EQU9 ](i,j) labels the sampling positions of the reconstructed image.