GA Based Rational Cubic B-Spline Representation for Still Image Interpolation

被引：5

作者：

Abbas, Samreen ^{[1
]}

Hussain, Malik Zawwar ^{[1
]}

Irshad, Misbah ^{[2
]}

机构：

[1] Univ Punjab, Dept Math, Lahore, Pakistan

[2] Women Univ Lahore, Lahore Coll, Dept Math, Lahore, Pakistan

来源：

PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH | 2016年 / 12卷 / 04期

关键词：

Image Quality Assessment (IQA); Still Image; Genetic Algorithm (GA); Interpolation; Rational B-spline;

D O I：

10.18187/pjsor.v12i4.1459

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, an image interpolation scheme is designed for 2D natural images. A local support rational cubic spline with control parameters, as interpolatory function, is being optimized using Genetic Algorithm (GA). GA is applied to determine the appropriate values of control parameter used in the description of rational cubic spline. Three state-of-the-art Image Quality Assessment (IQA) models with traditional one are involved for comparison with existing image interpolation schemes and perceptual quality check of resulting images. The results show that the proposed scheme is better than the existing ones in comparison.

引用

页码：753 / 763

页数：11

共 14 条

[1] A genetic algorithm approach to image sequence interpolation [J].