Bilinear interpolation: Difference between revisions

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syntax highlighting fixup automation
m (→‎{{header|F#|F sharp}}: Regularize header markup to recommended on category page)
m (syntax highlighting fixup automation)
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{{libheader|Action! Tool Kit}}
{{libheader|Action! Real Math}}
<langsyntaxhighlight lang=Action!>INCLUDE "H6:REALMATH.ACT"
INCLUDE "H6:LOADPPM5.ACT"
 
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DO UNTIL CH#$FF OD
CH=$FF
RETURN</langsyntaxhighlight>
{{out}}
[https://gitlab.com/amarok8bit/action-rosetta-code/-/raw/master/images/Bilinear_interpolation.png Screenshot from Atari 8-bit computer]
 
=={{header|C}}==
<langsyntaxhighlight lang=c>#include <stdint.h>
typedef struct {
uint32_t *pixels;
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putpixel(dst,x, y, result);
}
}</langsyntaxhighlight>
 
=={{header|C sharp|C#}}==
{{trans|Java}}
Seems to have some artifacting in the output, but the image is at least recognizable.
<langsyntaxhighlight lang=csharp>using System;
using System.Drawing;
 
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}
}
}</langsyntaxhighlight>
 
=={{header|D}}==
This uses the module from the Grayscale Image task.
{{trans|C}}
<langsyntaxhighlight lang=d>import grayscale_image;
 
/// Currently this accepts only a Grayscale image, for simplicity.
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im.rescaleGray(0.3, 0.1).savePGM("lena_smaller.pgm");
im.rescaleGray(1.3, 1.8).savePGM("lena_larger.pgm");
}</langsyntaxhighlight>
 
=={{header|F sharp|F#}}==
{{trans|C#}}
<langsyntaxhighlight lang=fsharp>open System
open System.Drawing
 
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result.Save("Lenna100_larger.jpg")
 
0 // return an integer exit code</langsyntaxhighlight>
 
=={{header|Go}}==
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<code>[https://godoc.org/golang.org/x/image/draw#BiLinear draw.BiLinear]</code>
from the <code>golang.org/x/image/draw</code> pacakge).
<langsyntaxhighlight lang=Go>package main
 
import (
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}
return err
}</langsyntaxhighlight>
 
=={{header|J}}==
<syntaxhighlight lang=J>
<lang J>
Note 'FEA'
Here we develop a general method to generate isoparametric interpolants.
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shape_functions =: COEFFICIENTS mp~ shape_function
interpolate =: mp shape_functions
</syntaxhighlight>
</lang>
<pre>
Note 'demonstrate the interpolant with a saddle'
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Let n mean shape function, C mean constants, i mean interpolant, and the three digits meaning dimensionality, number of corners, and (in base 36) the number of nodes we construct various linear and quadratic interpolants in 1, 2, and 3 dimensions as
<syntaxhighlight lang=J>
<lang J>
Note 'Some elemental information'
 
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i38q =: mp (C38r mp~ n38r)
i38r =: mp (C38r mp~ n38r)
</syntaxhighlight>
</lang>
 
=={{header|Java}}==
{{trans|Kotlin}}
<langsyntaxhighlight lang=Java>import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
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ImageIO.write(image2, "jpg", lenna2);
}
}</langsyntaxhighlight>
 
=={{header|Julia}}==
<langsyntaxhighlight lang=julia>using Images, FileIO, Interpolations
function enlarge(A::Matrix, factor::AbstractFloat)
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Alarge = enlarge(A, 1.6);
save("data/lennaenlarged.jpg", Alarge)
</syntaxhighlight>
</lang>
 
=={{header|Kotlin}}==
{{trans|C}}
<langsyntaxhighlight lang=scala>// version 1.2.21
 
import java.io.File
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val lenna2 = File("Lenna100_larger.jpg")
ImageIO.write(image2, "jpg", lenna2)
}</langsyntaxhighlight>
 
=={{header|Mathematica}}/{{header|Wolfram Language}}==
<langsyntaxhighlight lang=Mathematica>ImageResize[Import["http://www.rosettacode.org/mw/title.png"], Scaled[1.6], Resampling -> "Linear"]</langsyntaxhighlight>
{{out}}
Shows a downloaded image that is 60% enlarged.
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{{trans|F#}}
{{libheader|imageman}}
<langsyntaxhighlight lang=Nim>import imageman
 
func lerp(s, e, t: float): float =
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let image = loadImage[ColorRGBU]("Lenna100.jpg")
let newImage = image.scale(1.6, 1.6)
newImage.saveJPEG("Lenna100_bilinear.jpg")</langsyntaxhighlight>
 
=={{header|Perl}}==
<langsyntaxhighlight lang=perl>use strict;
use warnings;
 
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my $image2 = $image->copyScaleInterpolated( 1.6*$width, 1.6*$height );
 
$image2->_file('color_wheel_interpolated.png');</langsyntaxhighlight>
Compare offsite images: [https://github.com/SqrtNegInf/Rosettacode-Perl5-Smoke/blob/master/ref/color_wheel.png color_wheel.png] vs.
[https://github.com/SqrtNegInf/Rosettacode-Perl5-Smoke/blob/master/ref/color_wheel_interpolated.png color_wheel_interpolated.png]
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{{libheader|Phix/pGUI}}
Gui app with slider for between 2 and 200% scaling. Various bits of this code scavenged from C#/Go/Kotlin/Wikipedia.
<langsyntaxhighlight lang=Phix>-- demo\rosetta\Bilinear_interpolation.exw
include pGUI.e
 
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IupMainLoop()
IupClose()</langsyntaxhighlight>
 
=={{header|Python}}==
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Of course, it is much faster to use PIL, Pillow or SciPy to resize an image than to rely on this code.
 
<langsyntaxhighlight lang=python>#!/bin/python
import numpy as np
from scipy.misc import imread, imshow
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imshow(enlargedImg)
</syntaxhighlight>
</lang>
 
=={{header|Racket}}==
This mimics the Wikipedia example.
<langsyntaxhighlight lang=racket>#lang racket
(require images/flomap)
 
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(λ (k x y)
(flomap-bilinear-ref
fm k (+ 1/2 (/ x 250)) (+ 1/2 (/ y 250))))))</langsyntaxhighlight>
 
=={{header|Raku}}==
(formerly Perl 6)
<syntaxhighlight lang=raku perl6line>#!/usr/bin/env perl6
 
use v6;
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fclose($fh1);
fclose($fh2);
</syntaxhighlight>
</lang>
 
{{out}}
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=={{header|Scala}}==
===Imperative solution===
<langsyntaxhighlight lang=Scala>import java.awt.image.BufferedImage
import java.io.{File, IOException}
 
Line 1,101:
 
private def lerp(s: Float, e: Float, t: Float) = s + (e - s) * t
}</langsyntaxhighlight>
 
=={{header|Sidef}}==
{{trans|C}}
<langsyntaxhighlight lang=ruby>require('Imager')
 
func scale(img, scaleX, scaleY) {
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var img = %O<Imager>.new(file => "input.png")
var out = scale(img, 1.6, 1.6)
out.write(file => "output.png")</langsyntaxhighlight>
 
=={{header|Tcl}}==
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The script below will show the computed image in a GUI frame, and present a button to save it.
 
<langsyntaxhighlight lang=Tcl>
package require Tk
 
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pack [button .b -text "save" -command [list save $im]]
 
</syntaxhighlight>
</lang>
 
=={{header|Visual Basic .NET}}==
{{trans|C#}}
<langsyntaxhighlight lang=vbnet>Imports System.Drawing
 
Module Module1
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End Sub
 
End Module</langsyntaxhighlight>
 
=={{header|Wren}}==
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{{libheader|DOME}}
Note that currently DOME's ImageData class can only save files to disk in .png format.
<langsyntaxhighlight lang=ecmascript>import "dome" for Window
import "graphics" for Canvas, Color, ImageData
import "math" for Math
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}
 
var Game = BilinearInterpolation.new("Lenna100.jpg", "Lenna100_larger.png", 1.6, 1.6)</langsyntaxhighlight>
 
=={{header|Yabasic}}==
{{trans|Nim}}
<langsyntaxhighlight lang=Yabasic>// Rosetta Code problem: http://rosettacode.org/wiki/Bilinear_interpolation
// Adapted from Nim to Yabasic by Galileo, 01/2022
 
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dot x, y
next
next</langsyntaxhighlight>
 
=={{header|zkl}}==
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Not fast enough to be called slow.
<langsyntaxhighlight lang=zkl>fcn lerp(s,e,t){ s + (e-s)*t; }
fcn blerp(c00,c10,c01,c11, tx,ty){ lerp(lerp(c00,c10,tx), lerp(c01,c11,tx),ty) }
fcn scale(src, scaleX,scaleY){
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}
dst
}</langsyntaxhighlight>
<langsyntaxhighlight lang=zkl>img:=PPM.readPPMFile("lena.ppm");
img2:=scale(img,1.5,1.5);
img2.write(File("lena1.5.ppm","wb"));
scale(img,0.5,0.5).write(File("lena.5.ppm","wb"));</langsyntaxhighlight>
{{out}}
http://www.zenkinetic.com/Images/RosettaCode/3Lenas.jpg
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