Quadratic trigonometric B-spline for image interpolation using GA

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Detalles Bibliográficos
Publicado en:	PLoS One vol. 12, no. 6 (Jun 2017), p. e0179721
Autor principal:	Malik, Zawwar Hussain
Otros Autores:	Abbas, Samreen, Irshad, Misbah
Publicado:	Public Library of Science
Materias:	University of the Punjab Lahore Pakistan Pakistan Digital imaging Similarity Applied mathematics Environmental Algorithms Soft computing Noise prediction Optimization techniques Software Signal processing Interpolation Speech Image processing Mathematics Computer applications Quality Data processing Optics Computer programs Genetic algorithms Scale (ratio) Studies Quality control Construction Polynomials Information processing Computers Image quality Compression Signal to noise ratio Multiscale analysis
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Descripción
Resumen:	In this article, a new quadratic trigonometric B-spline with control parameters is constructed to address the problems related to two dimensional digital image interpolation. The newly constructed spline is then used to design an image interpolation scheme together with one of the soft computing techniques named as Genetic Algorithm (GA). The idea of GA has been formed to optimize the control parameters in the description of newly constructed spline. The Feature SIMilarity (FSIM), Structure SIMilarity (SSIM) and Multi-Scale Structure SIMilarity (MS-SSIM) indices along with traditional Peak Signal-to-Noise Ratio (PSNR) are employed as image quality metrics to analyze and compare the outcomes of approach offered in this work, with three of the present digital image interpolation schemes. The upshots show that the proposed scheme is better choice to deal with the problems associated to image interpolation.
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0179721
Fuente:	Health & Medical Collection