2004•IEEE Signal Processing LettersRequires access

Adaptive Image Interpolation Based on Local Gradient Features

Ji Won Hwang, H.S. Lee

Open publisher page 250 citations

Abstract

This letter presents two adaptive interpolation methods based on applying an inverse gradient to conventional bilinear and bicubic interpolation. In simulations, the proposed methods exhibited a better performance than conventional bilinear and bicubic methods, particularly in the edge regions. In addition, the proposed methods can be used irrespective of the magnification factor (MF) and easily implemented due to their simple structure.

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What this paper is about

This letter presents two adaptive interpolation methods based on applying an inverse gradient to conventional bilinear and bicubic interpolation. In simulations, the proposed methods exhibited a better performance than conventional bilinear and bicubic methods, particularly in the edge regions. In addition, the proposed methods can be used irrespective of the magnification factor (MF) and easily implemented due to their simple structure.

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Available abstract

This letter presents two adaptive interpolation methods based on applying an inverse gradient to conventional bilinear and bicubic interpolation. In simulations, the proposed methods exhibited a better performance than conventional bilinear and bicubic methods, particularly in the edge regions. In addition, the proposed methods can be used irrespective of the magnification factor (MF) and easily implemented due to their simple structure.

Key concepts: Bicubic interpolation, Bilinear interpolation, Stairstep interpolation, Interpolation (computer graphics), Nearest-neighbor interpolation, Image scaling, Demosaicing, Trilinear interpolation

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