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Bicubic interpolation

About: Bicubic interpolation is a research topic. Over the lifetime, 3348 publications have been published within this topic receiving 73126 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper demonstrated the time improvement in calcium volume computation without compromising the quality of IVUS image and provides a bias correction approach to enrich the system, giving a better mean calcium volume similarity for all the multiresolution-based segmentation methods.

17 citations

Journal ArticleDOI
TL;DR: Methods for preparation of three dimensional information for isoline mapping are described based on Fourier, Chebyshev, and cubic interpolation from regularly spaced arrays of spatial data.

17 citations

01 Jan 2009

17 citations

Proceedings Article
01 Nov 2012
TL;DR: A novel image fusion based interpolation method that combines the advantages of SAI and Bicubic together through image fusion and demonstrates the effectiveness of the proposed method.
Abstract: In this paper, a novel image fusion based interpolation method is proposed. Soft-decision-adaptive interpolation (SAI) is one of the state of the art image interpolation algorithms. However, SAI may produce serious artifacts in small-scale edge areas. Bicubic interpolation performs better in preserving the fidelity of small-scale edges. But, bicubic interpolation may cause zigzag and blurring artifacts around strong edges. The proposed method combines the advantages of SAI and Bicubic together through image fusion. The artifacts in the SAI interpolated image are first detected and then removed by fusing the SAI interpolated image with the bicubic interpolated image. Experiments demonstrate the effectiveness of the proposed method.

17 citations

Proceedings ArticleDOI
Seungjoon Yang1, Kihyun Hong1
14 Nov 2005
TL;DR: This paper formulate interpolation with bilateral filters by an optimization problem, with which it can enforce the interpolation constraint as well as smoothness constraint, and designs a designed bilateral filter that can be used in image size conversion.
Abstract: This paper presents an image size conversion method based on bilateral filtering. We formulate interpolation with bilateral filters by an optimization problem, with which we can enforce the interpolation constraint as well as smoothness constraint. The designed bilateral filter can be used in image size conversion, providing better pass-band characteristics and less artifacts from aliasing.

17 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202350
2022118
202187
202087
2019122
201892