fast::ImageResizer class
#include <FAST/Algorithms/ImageResizer/ImageResizer.hpp>

Process object for resizing an image.

Contents

Base classes

class ProcessObject
Abstract base class for all process objects.

Public functions

auto create(int width, int height, int depth, bool useInterpolation, bool preserveAspectRatio, bool blurOnDownsampling) -> std::shared_ptr<ImageResizer>
Create instnace.
void setWidth(int width)
void setHeight(int height)
void setDepth(int depth)
void setSize(VectorXi size)
void setPreserveAspectRatio(bool preserve)
void setInterpolation(bool useInterpolation)
void loadAttributes() override

Private functions

void execute() virtual

Function documentation

std::shared_ptr<ImageResizer> fast::ImageResizer::create(int width, int height, int depth, bool useInterpolation, bool preserveAspectRatio, bool blurOnDownsampling)

Create instnace.

Parameters
width Width of new image
height Height of new image
depth Depth of new image, if 3D input
useInterpolation Whether to use linear interpolation or not
preserveAspectRatio Whether to preserve aspect ratio when resizing
blurOnDownsampling Whether to apply GaussianSmoothing on the input image before downsampling. This is crucial to avoid aliasing artifacts. The standard deviation of the smoothing is set to (d - 1) / 2 where d is the downsampling factor.
Returns instance