High-pass 2dSee full documentation

image =

highPass2dImg (inImg,inHalfKnlSize)

Detailed Description

high pass filter on 2d image

High-pass filters keep high frequencies of the input image and reduce low frequencies. They are usually used to make the image appear sharper. This current implementation of high-pass filter is equivalent to a 2d convolution, using a square kernel of given half size ( ), whose all elements equal to -1, except the central element, whose value equals to .

A mirror policy is used to apply filter to borders. Input and output images must have same size (see Border policy for more details).

Here is an example of a high-pass filter applied to an 8-bits grey levels input image (with ) :

Example of Python code :

Example imports

import PyIPSDK
import PyIPSDK.IPSDKIPLFiltering as filter

Code Example

    # opening of input images
    inImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    
    # high pass filter 2d computation
    outImg = filter.highPass2dImg(inImg, 5)

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLFiltering/Processor/HighPass2dImg/HighPass2dImg.h>

Code Example

        // definition of a custom output geometry
        ImageGeometryPtr pOutImageGeometry =
            geometry2d(outImageBufferType,
                       pInImg->getSizeX(),
                       pInImg->getSizeY());

        // creation of output image
        boost::shared_ptr<MemoryImage> pOutImg = boost::make_shared<MemoryImage>();
        pOutImg->init(*pOutImageGeometry);

        // compute high pass filter on input image
        highPass2dImg(pInImg, inHalfKnlSize, pOutImg);