FreqDIBHighpass

#include "BIFILTER.H"

 

HANDLE CALLBACK FreqDIBHighpass(                 HANDLE   hSrcDIB,
WORD      nCutoff,
WORD      nType,
BOOL       bFFTMethod,
BOOL       bShowDialog)

Description

This function attenuates the low frequency components. It uses Fast Fourier Transform (FFT) algorithm to obtain the Fourier spectrum. In the frequency domain, a filter function attenuates the low frequency components. After that, the inverse FFT algorithm is applied to obtain the result DIB. It works with 4, 8 or 24 bits/pixel. In case of 4 or 8 bits/pixel, the source DIB must contain grayscale images and the palette values in the source DIB must be monotone increasing. It makes no sense to use this function in case of 1 bits/pixel. If the source DIB size is not a power of two, zero padding is used.

Examples

Description: macska                                                  Description: macskahighpassed

The original 180 x 210 size image and the FFT-Highpass filtered image with Cutoff = 15 and ideal filter.

Parameters

HANDLE

hSrcDIB

Source DIB

WORD

nCutoff

Cutoff frequency. See the description and examples above for further information and a possible value.

WORD

nType

The filter function in the frequency domain.

1: FILTER_IDEAL

2: FILTER_BUTTERWORTH

BOOL

bFFTMethod

There are two ways realized to process the power spectra of an image. One uses trigonometrical sinus and cosinus functions and the other one uses square root functions. There can be different between the two ways only at the processing time.

Available values:

TRUE (1)                            -     The power spectra will be processed by sinus and cosinus functions.

FALSE (0)                          -     The power spectra will be processed by square root functions.

BOOL

bShowDialog

This parameter specifies that is the preview dialog to be displayed or not.

Return values

Handle of the newly created DIB on success or NULL on failure.

Programming notes

Cutoff frequency.

This function does not pass any frequency components if the ‘nCutoff’ parameter is greater than the radius of the image. For example if the size of the source image is 128 x 128, then the zero pass frequency is  sqrt(2) * 128 / 2 = 90. Of course this is true only if nType = FILTER_IDEAL.

Ideal highpass filter  (‘nType = FILTER_IDEAL)

The name ideal filter indicates that all frequencies outside a circle of radius ‘nCutoff’ are passed with no attenuation, whereas all frequencies inside this circle are completely attenuated.

Butterworth highpass filter  (‘nType’ = FILTER_BUTTERWORTH)

H(u, v) = 1 / ( 1 + ( D0 / D(u, v) ^ 2) )
H(u, v):           Filter function, ‘u’ and ‘v’ is the frequency variable.
D(u, v):           Distance from the origin of the frequency plane:  sqrt( u*u + v*v )
D0:                  Cutoff frequency (nCutoff)

Requirements

Header :    Declared in BIFilter.h; include BIFilter.h.

Library :    Use BIFilter.lib.

DLLs :       BIFilter.dll.