디지털영상처리

고려대학교
오창현

페이스북 트위터 카카오톡 네이버밴드 링크복사

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공학 >전기ㆍ전자 >전자공학
강의학기

2014년 2학기

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57,696
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5/5.0 (4)

강의계획서

공간, 주파수 및 Color 영상처리, 영상복원에 관해 배운다. 특히 Fourier Transform 을 비롯한 각종 변환을 사용한 디지털영상처리기법을 배운다. 교재는 Digital Image Processing, 3rd Edition, Gonzalez and Wood, Pearson (2010) 과 The Fourier Transform and Its Application, 3rd Edition, Ronald Bracewell, McGrawHill (2000) 을 사용한다.

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Introduction and Digital Image Fundamentals

차시별 강의

1.		Introduction and Digital Image Fundamentals
		Introduction and Digital Image Fundamentals
		Introduction and Digital Image Fundamentals
2.		Intensity Transformations and Spatial FIltering I
		Intensity Transformations and Spatial FIltering I
3.		Intensity Transformations and Spatial FIltering I
		Intensity Transformations and Spatial FIltering II
		Intensity Transformations and Spatial FIltering II
4.		Fourier Transform, Groundwork and Convolution
		Fourier Transform, Groundwork and Convolution
		Fourier Transform, Groundwork and Convolution
		Fourier Transform, Groundwork and Convolution
5.		Fourier Transform, Some Useful Functions
		Fourier Transform, Some Useful Functions
		Fourier Transform, Some Useful Functions
6.		Sampling, Series, Discrete Fourier Transform, and FFT
		Sampling, Series, Discrete Fourier Transform, and FFT
		Sampling, Series, Discrete Fourier Transform, and FFT
7.		Filtering in the Frequency Domain
		Filtering in the Frequency Domain
		Filtering in the Frequency Domain
		Filtering in the Frequency Domain
8.		Image Restoration and Reconstruction I
		Image Restoration and Reconstruction I
		Image Restoration and Reconstruction I
9.		Image Restoration and Reconstruction II
		Image Restoration and Reconstruction II
		Image Restoration and Reconstruction II
10.		Color Image Processing
		Color Image Processing
		Color Image Processing
		Color Image Processing
11.		Wavelet and Multiresolution Processing
		Wavelet and Multiresolution Processing
		Wavelet and Multiresolution Processing