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

Author(s)
Samreen Abbas Department of Mathematics, University of the Punjab, Lahore, Pakistan.
Malik Zawwar Hussain Department of Mathematics, University of the Punjab, Lahore, Pakistan.
Misbah Irshad Department of Mathematics, Lahore College for Women University Lahore, Pakistan.
Abstract
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 stateof-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.
Publication Details
Page(s) 753-763
DOI DOI not available
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 12, Issue: 4, Year: 2016

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