2007Electronics LettersRequires access

Closed-form least-squares technique for adaptive linear image interpolation

Hoon Yoo

Open publisher page 19 citations

Abstract

An adaptive linear image interpolation method based on the least-squares technique is proposed. A generic adaptive interpolation framework is introduced to provide a simple closed-form formula for adaptive image interpolation. Experimental results indicate that the proposed interpolation method outperforms existing methods in terms of objective and subjective image quality.

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What this paper is about

An adaptive linear image interpolation method based on the least-squares technique is proposed. A generic adaptive interpolation framework is introduced to provide a simple closed-form formula for adaptive image interpolation. Experimental results indicate that the proposed interpolation method outperforms existing methods in terms of objective and subjective image quality.

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OpenAlex reports 19 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An adaptive linear image interpolation method based on the least-squares technique is proposed. A generic adaptive interpolation framework is introduced to provide a simple closed-form formula for adaptive image interpolation. Experimental results indicate that the proposed interpolation method outperforms existing methods in terms of objective and subjective image quality.

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

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