Work

An efficient convolution interpolation kernel for digital image scaling

Year: 2008

Type: article

Abstract: This paper presents an efficient extended linear convolution interpolation method for efficient scaling. The kernel of the extended linear convolution interpolation is built up of first-order polynomial and approximates the ideal sinc-function in interval [-2, 2]. The approach reduces the computational complexity of interpolation and the interpolation quality is compatible to that of bi-cubic convolution interpolations.

Source: IEICE Electronics Express

DOI: 10.1587/elex.5.860

Authors: Chung-chi Lin, Ming-hwa Sheu, Huann-keng Chiang, Chishyan Liaw, Zeng-chuan Wu

Institutions: National Yunlin University of Science and Technology, Tunghai University

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W1978625259

FWCI: 0.479

Cites: 8

Cited by: 2

Related to: 10