Title: Adaptive edge-based bi-cubic image interpolation

Authors: C. John Moses; D. Selvathi

Addresses: Electronics and Communication Engineering, Sreyas Institute of Engineering and Technology, Bandlaguda, Nagole, Hyderabad – 500068, India; Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, Virudhunagar District, Tamil Nadu – 626005, India ' Electronics and Communication Engineering, Sreyas Institute of Engineering and Technology, Bandlaguda, Nagole, Hyderabad – 500068, India; Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, Virudhunagar District, Tamil Nadu – 626005, India

Abstract: Image interpolation is a technique of creating new pixels by using old pixels. Nowadays image interpolation systems are widely used in many digital signal processing applications like reconstructing medical images and increasing the resolution of satellite and multimedia images. Bi-cubic interpolation is one of traditional and high-performance scheme as compared with other conventional interpolations like nearest neighbour and bilinear. However, the traditional interpolation produces image artefacts like jagging and blurring. To avoid these kinds of drawbacks, several adaptive bi-cubic schemes are introduced in the past decade. This work presents an edge-based adaptive bi-cubic image interpolation using clamp filter and sigmoidal edge detection technique. The clamp filter avoids aliasing artefacts and it smoothes edge information by performing low-pass filtering. The experimental result shows that the proposed edge-based bi-cubic outperforms other related bi-cubic image interpolation schemes.

Keywords: up-scaling; resolution; PSNR; clamp filter; convolution; SSIM; multimedia; bilinear; polynomial; edge information.

DOI: 10.1504/IJRIS.2021.114636

International Journal of Reasoning-based Intelligent Systems, 2021 Vol.13 No.2, pp.101 - 105

Received: 12 Aug 2019
Accepted: 30 Dec 2019

Published online: 30 Mar 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article