In this article a rational ball cubic B-spline representation based image interpolation scheme is proposed with tension parameter to interpolate two dimensional natural images. Genetic algorithm used detect the optimal value of parameter, so that sum square error minimum. Comparison among and existing techniques in terms some state-of-the-art quality metrics classical Peak Signal-to-Noise Ratio (PSNR), depicts suggested form produces better results more suitable for problems related interpolation.

In this article, a new quadratic trigonometric B-spline with control parameters is constructed to address the problems related two dimensional digital image interpolation. The newly spline then used design an interpolation scheme together one of soft computing techniques named as Genetic Algorithm (GA). idea GA has been formed optimize in description spline. Feature SIMilarity (FSIM), Structure (SSIM) and Multi-Scale (MS-SSIM) indices along traditional Peak Signal-to-Noise Ratio (PSNR) are...

A cubic trigonometric B‐spline representation with two parameters is constructed in this work. soft computing technique, genetic algorithm, used to find the optimal value of description so that sum square error minimised. The newly then utilised interpolate two‐dimensional digital images. image quality metrics peak signal‐to‐noise ratio, structure SIMilarity index, multi‐scale index and feature are investigate interpolated Comparison already existing interpolation schemes leads conclusion...

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, being optimized using Genetic Algorithm (GA).GA applied to determine the appropriate values of parameter used in description spline.Three stateof-the-art Image Quality Assessment (IQA) models traditional one are involved comparison existing schemes and perceptual quality check resulting images.The results show that proposed...

Capturing outlines is crucial in vectorization of the digital images. An effective and automatic algorithm presented for outline vectorizing planar objects within images using trigonometric B-spline. A soft computing optimization technique Genetic Algorithm (GA) employed to determine suitable measures parameter description proposed The anticipated scheme executed on a few raster (bitmap), validate robustness algorithm. procedure encompasses series stages like boundary detection, corner...

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