IEEE Trans Image Process - Image inpainting on the basis of spectral structure from 2-D nonharmonic analysis.

Tópicos

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Resumo

The restoration of images by digital inpainting is an active field of research and such algorithms are, in fact, now widely used. Conventional methods generally apply textures that are most similar to the areas around the missing region or use a large image database. However, this produces discontinuous textures and thus unsatisfactory results. Here, we propose a new technique to overcome this limitation by using signal prediction based on the nonharmonic analysis (NHA) technique proposed by the authors. NHA can be used to extract accurate spectra, irrespective of the window function, and its frequency resolution is less than that of the discrete Fourier transform. The proposed method sequentially generates new textures on the basis of the spectrum obtained by NHA. Missing regions from the spectrum are repaired using an improved cost function for 2D NHA. The proposed method is evaluated using the standard images Lena, Barbara, Airplane, Pepper, and Mandrill. The results show an improvement in MSE of about 10-20 compared with the examplar-based method and good subjective quality.

Resumo Limpo

restor imag digit inpaint activ field research algorithm fact now wide use convent method general appli textur similar area around miss region use larg imag databas howev produc discontinu textur thus unsatisfactori result propos new techniqu overcom limit use signal predict base nonharmon analysi nha techniqu propos author nha can use extract accur spectra irrespect window function frequenc resolut less discret fourier transform propos method sequenti generat new textur basi spectrum obtain nha miss region spectrum repair use improv cost function d nha propos method evalu use standard imag lena barbara airplan pepper mandril result show improv mse compar examplarbas method good subject qualiti

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