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**Digital Image Processing Frequency Filtering Ashourian**

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**Contents بهبود کیفیت تصویر در حوزه فرکانس**

The Fourier series & the Fourier transform Image Processing in the frequency domain Image smoothing Image sharpening Fast Fourier Transform

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DFT & Images قدرمطلق دامنه تبدیل فوریه DFT

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DFT & Images

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DFT & Images

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**Fourier spectrum of the image**

DFT & Images (cont…) DFT Scanning electron microscope image of an integrated circuit magnified ~2500 times Fourier spectrum of the image

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DFT & Images (cont…)

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DFT & Images (cont…)

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**The Inverse DFT تبدیل فوریه معکوس پذیر است**

for x = 0, 1, 2…M-1 and y = 0, 1, 2…N-1

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**The DFT and Image Processing**

برای فیلتر کردن در حوزه فرکانس: Compute F(u,v) the DFT of the image Multiply F(u,v) by a filter function H(u,v) Compute the inverse DFT of the result

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**Some Basic Frequency Domain Filters**

Low Pass Filter High Pass Filter

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**Some Basic Frequency Domain Filters**

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**Some Basic Frequency Domain Filters**

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**Smoothing Frequency Domain Filters**

هموارسازی با حذف بخش فرکانس بالای سیگنال صورت می گیرد The basic model for filtering is: G(u,v) = H(u,v)F(u,v) where F(u,v) is the Fourier transform of the image being filtered and H(u,v) is the filter transform function Low pass filters – only pass the low frequencies, drop the high ones

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Ideal Low Pass Filter فیلتر پایین گذر ایده ال کلیه عواملی که کمتر از یک فرکانس ثابت هستند را حذف می نماید changing the distance changes the behaviour of the filter

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**Ideal Low Pass Filter (cont…)**

فیلتر پایین گذر ایده ال: where D(u,v) is given as:

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**Ideal Low Pass Filter (cont…)**

Above we show an image, it’s Fourier spectrum and a series of ideal low pass filters of radius 5, 15, 30, 80 and 230 superimposed on top of it

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**Ideal Low Pass Filter (cont…)**

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**Ideal Low Pass Filter (cont…)**

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**Ideal Low Pass Filter (cont…)**

Result of filtering with ideal low pass filter of radius 5 Original image Result of filtering with ideal low pass filter of radius 15 Result of filtering with ideal low pass filter of radius 30 Result of filtering with ideal low pass filter of radius 230 Result of filtering with ideal low pass filter of radius 80

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**Ideal Low Pass Filter (cont…)**

Result of filtering with ideal low pass filter of radius 5

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**Ideal Low Pass Filter (cont…)**

Result of filtering with ideal low pass filter of radius 15

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**Butterworth Lowpass Filters**

The transfer function of a Butterworth lowpass filter of order n with cutoff frequency at distance D0 from the origin is defined as: Images taken from Gonzalez & Woods, Digital Image Processing (2002)

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**Butterworth Lowpass Filter (cont…)**

Result of filtering with Butterworth filter of order 2 and cutoff radius 5 Original image Result of filtering with Butterworth filter of order 2 and cutoff radius 15 Result of filtering with Butterworth filter of order 2 and cutoff radius 30 Result of filtering with Butterworth filter of order 2 and cutoff radius 230 Result of filtering with Butterworth filter of order 2 and cutoff radius 80

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**Butterworth Lowpass Filter (cont…)**

Original image Result of filtering with Butterworth filter of order 2 and cutoff radius 5

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**Butterworth Lowpass Filter (cont…)**

Result of filtering with Butterworth filter of order 2 and cutoff radius 15

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**Gaussian Lowpass Filters**

The transfer function of a Gaussian lowpass filter is defined as:

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**Gaussian Lowpass Filters (cont…)**

Result of filtering with Gaussian filter with cutoff radius 5 Original image Result of filtering with Gaussian filter with cutoff radius 15 Result of filtering with Gaussian filter with cutoff radius 30 Result of filtering with Gaussian filter with cutoff radius 85 Result of filtering with Gaussian filter with cutoff radius 230

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**Lowpass Filters Compared**

Result of filtering with Butterworth filter of order 2 and cutoff radius 15 Result of filtering with ideal low pass filter of radius 15 Result of filtering with Gaussian filter with cutoff radius 15

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**Lowpass Filtering Examples**

فیلتر پایین گذر گوسین می تواند برای اتصال حروف شکسته استفاده شود

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**Lowpass Filtering Examples**

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**Lowpass Filtering Examples (cont…)**

از فیلترهای پایین گذر گوسی مختلف می توان برای حذف چین و چروک یا روتوش استفاده نمود

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**Lowpass Filtering Examples (cont…)**

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**Lowpass Filtering Examples (cont…)**

Original image Gaussian lowpass filter Spectrum of original image Processed image

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**Sharpening in the Frequency Domain**

لبه ها و جزییات تصویر متناظر با عوامل فرکانس بالا هستند High pass filters – only pass the high frequencies, drop the low ones High pass frequencies are precisely the reverse of low pass filters, so: Hhp(u, v) = 1 – Hlp(u, v)

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**Ideal High Pass Filters**

:فیلتر بالاگذر ایده ال بدین صورت داده می شود where D0 is the cut off distance as before

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**Ideal High Pass Filters (cont…)**

Results of ideal high pass filtering with D0 = 15 Results of ideal high pass filtering with D0 = 30 Results of ideal high pass filtering with D0 = 80

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**Butterworth High Pass Filters**

The Butterworth high pass filter is given as: where n is the order and D0 is the cut off distance as before

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**Butterworth High Pass Filters (cont…)**

Results of Butterworth high pass filtering of order 2 with D0 = 15 Results of Butterworth high pass filtering of order 2 with D0 = 80 Results of Butterworth high pass filtering of order 2 with D0 = 30

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**Gaussian High Pass Filters**

فیلتر بالا گذر گوسی بدین صورت تعریف میشود: where D0 is the cut off distance as before

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**Gaussian High Pass Filters (cont…)**

Results of Gaussian high pass filtering with D0 = 15 Results of Gaussian high pass filtering with D0 = 80 Results of Gaussian high pass filtering with D0 = 30

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**Highpass Filter Comparison**

Results of ideal high pass filtering with D0 = 15

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**Highpass Filter Comparison**

Results of Butterworth high pass filtering of order 2 with D0 = 15

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**Highpass Filter Comparison**

Results of Gaussian high pass filtering with D0 = 15

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**Highpass Filter Comparison**

Results of ideal high pass filtering with D0 = 15 Results of Butterworth high pass filtering of order 2 with D0 = 15 Results of Gaussian high pass filtering with D0 = 15

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**Highpass Filter Comparison**

Results of ideal high pass filtering with D0 = 15

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**Highpass Filter Comparison**

Results of Butterworth high pass filtering of order 2 with D0 = 15

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**Highpass Filter Comparison**

Results of Gaussian high pass filtering with D0 = 15

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**Highpass Filtering Example**

Original image Highpass filtering result High frequency emphasis result After histogram equalisation

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**Highpass Filtering Example**

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**Highpass Filtering Example**

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**Highpass Filtering Example**

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**Highpass Filtering Example**

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**Laplacian In The Frequency Domain**

2-D image of Laplacian in the frequency domain Laplacian in the frequency domain Inverse DFT of Laplacian in the frequency domain Zoomed section of the image on the left compared to spatial filter

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**Frequency Domain Laplacian Example**

Laplacian filtered image Original image Laplacian image scaled Enhanced image

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**Fast Fourier Transform**

The reason that Fourier based techniques have become so popular is the development of the Fast Fourier Transform (FFT) algorithm Allows the Fourier transform to be carried out in a reasonable amount of time Reduces the amount of time required to perform a Fourier transform by a factor of 100 – 600 times!

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**Frequency Domain Filtering & Spatial Domain Filtering**

Similar jobs can be done in the spatial and frequency domains Filtering in the spatial domain can be easier to understand Filtering in the frequency domain can be much faster – especially for large images

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**Summary we examined image enhancement in the frequency domain**

The Fourier series & the Fourier transform Image Processing in the frequency domain Image smoothing Image sharpening Fast Fourier Transform Next time we will begin to examine image restoration using the spatial and frequency based techniques.

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**Imteresting Application Of Frequency Domain Filtering**

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**Imteresting Application Of Frequency Domain Filtering**

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CHAPTER 4 Image Enhancement in Frequency Domain

CHAPTER 4 Image Enhancement in Frequency Domain

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