ScholarLens Back to search
2016•International Conference on Computing for Sustainable Global DevelopmentRequires access

Performance analysis of interpolation methods for improving sub-image content-based retrieval

A.B. Dhivya, M. Sundaresan

Open publisher page 2 citations

Abstract

In this paper, the fundamental concepts of interpolation and its applications are discussed. The four interpolation algorithms such as Nearest Neighbor Replacement (NNR) Interpolation, Bi-Cubic (BC) Interpolation, Wavelet Transformation-based (WT) Interpolation and Edge Sensitive (ES) Interpolation are examined and compared based on quality and accuracy. The performance of the interpolation algorithm was analyzed by means of PSNR (Peak Signal to Noise Ratio) and FOM (Figure of Merit).

About this research paper

What this paper is about

In this paper, the fundamental concepts of interpolation and its applications are discussed. The four interpolation algorithms such as Nearest Neighbor Replacement (NNR) Interpolation, Bi-Cubic (BC) Interpolation, Wavelet Transformation-based (WT) Interpolation and Edge Sensitive (ES) Interpolation are examined and compared based on quality and accuracy. The performance of the interpolation algorithm was analyzed by means of PSNR (Peak Signal to Noise Ratio) and FOM (Figure of Merit).

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, the fundamental concepts of interpolation and its applications are discussed. The four interpolation algorithms such as Nearest Neighbor Replacement (NNR) Interpolation, Bi-Cubic (BC) Interpolation, Wavelet Transformation-based (WT) Interpolation and Edge Sensitive (ES) Interpolation are examined and compared based on quality and accuracy. The performance of the interpolation algorithm was analyzed by means of PSNR (Peak Signal to Noise Ratio) and FOM (Figure of Merit).

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

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Performance analysis of interpolation methods for improving sub-image content-based retrieval — Research Paper | ScholarLens