IEEE Trans Image Process - Interpolation-dependent image downsampling.

Tópicos

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Resumo

Traditional methods for image downsampling commit to remove the aliasing artifacts. However, the influences on the quality of the image interpolated from the downsampled one are usually neglected. To tackle this problem, in this paper, we propose an interpolation-dependent image downsampling (IDID), where interpolation is hinged to downsampling. Given an interpolation method, the goal of IDID is to obtain a downsampled image that minimizes the sum of square errors between the input image and the one interpolated from the corresponding downsampled image. Utilizing a least squares algorithm, the solution of IDID is derived as the inverse operator of upsampling. We also devise a content-dependent IDID for the interpolation methods with varying interpolation coefficients. Numerous experimental results demonstrate the viability and efficiency of the proposed IDID.

Resumo Limpo

tradit method imag downsampl commit remov alias artifact howev influenc qualiti imag interpol downsampl one usual neglect tackl problem paper propos interpolationdepend imag downsampl idid interpol hing downsampl given interpol method goal idid obtain downsampl imag minim sum squar error input imag one interpol correspond downsampl imag util least squar algorithm solut idid deriv invers oper upsampl also devis contentdepend idid interpol method vari interpol coeffici numer experiment result demonstr viabil effici propos idid

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